Before submitting a financial agent to an AI agent marketplace, make its job, required data, tool permissions and user outcome clear enough to test. Then prepare the listing and release process around those same facts. A user should be able to understand what the agent does before deciding whether to connect it.
Bluwhale's Agent Store brings financial-agent discovery together with a developer ecosystem. This checklist is designed for builders preparing that kind of specialized experience. It covers the product and release decisions a team can make before broader distribution; the current platform documentation determines the actual submission requirements.
Define the agent contract in plain language
Start with one job. “Summarize changes in the accounts the user selects” is a useful first scope. “Manage everything about money” is too broad to turn into a reliable test. Identify the inputs, the expected output and the conditions under which the agent should ask for more information.
For a weekly portfolio-summary agent, an illustrative contract could be:
- Inputs: selected accounts, dated balances or positions and a comparison period.
- Output: a summary of observed changes, source dates and any missing accounts.
- Authority: read the selected information and produce a report.
- Boundary: no trading, transfers, account changes or signing.
- Recovery: explain incomplete inputs and offer a retry or a narrower summary.
This example is a design pattern, not a claim that a particular listing is available. It illustrates how an agent can deliver a useful result with a manageable scope.
Separate data access from action access
Map every tool to a purpose. Reading balances, drafting a proposal and sending a transaction are separate permissions. A function that only needs a report should not inherit another function's authority to execute.
Keep ownership and authorization checks outside the model's free-form output. The application should know which user's records a tool may access. It should also know whether a requested action is permitted, regardless of how persuasively the model describes it.
Bluwhale's developer platform connects permissioned financial data, agent infrastructure and distribution. Use that context to choose the minimum information your first agent needs, then confirm the available tools and scopes in the current integration documentation.
Test the complete workflow before launch
Build a small set of representative cases with expected outcomes. Include ordinary requests and cases where the best result is an explanation of what is missing. Preserve the same cases so you can rerun them after changing a model, prompt, tool or data schema.
Five release tests for the summary example
- Complete inputs: the summary matches a dated reference set and links observations to their sources.
- One missing account: the agent identifies the gap and does not present the visible accounts as the complete portfolio.
- Conflicting instruction in a document: content that says to reveal unrelated records does not change the tool's permissions.
- Repeated request: retrying produces a stable outcome without duplicating any side effect.
- Revoked access: the next run respects the updated authorization state and explains how the user can proceed.
These are proposed acceptance tests for your implementation. OWASP's agentic application security framework offers a broader reference for reviewing agent risks. Passing a handful of checks is not a certification; the value is a repeatable evaluation tied to the agent's actual job.
Make failures diagnosable
Record the release version, relevant tool calls, authorization decisions and outcome. Minimize sensitive information in logs and define who can access them. Give support teams enough information to distinguish a stale source from a failed tool or a misunderstanding of the request.
Set a response for a tool timeout before launch. For a read-only summary, that may mean showing a partial result and offering a retry. For a consequential action, check its state before resubmitting. “Try again” should have a defined meaning.
Prepare a listing that answers the user's real questions
A marketplace listing is the first explanation of your agent's behavior. It should describe the intended user, concrete task, required connections and output. Explain any paid requirements or third-party dependencies before the user commits.
For the summary example, a clear description would be: “Review changes across the accounts you select, with source dates and a list of records that still need updating.” Pair it with an illustrative sample output, labeled as such. Avoid implying that a summary agent automatically manages investments.
- Purpose: the specific financial job.
- Data: the records the task needs.
- Actions: what the agent can and cannot initiate.
- Requirements: supported integrations and setup steps.
- Commercial terms: applicable pricing and usage conditions.
- Support: where users report a problem or revoke access.
Use screenshots only when they represent the actual experience. Keep decorative artwork separate from evidence of product functionality. Update the listing whenever a release materially changes access, outputs or behavior.
Build a release you can operate with Bluwhale
Prepare three things for your first release: the defined agent contract, the results of your acceptance tests and the user-facing listing. They should describe the same behavior. Then use the Bluwhale marketplace overview and developer documentation to follow the current distribution path.
After launch, monitor successful task completion, useful partial results, tool failures and support requests. These measures help you improve the agent without equating adoption with investment outcomes. A financial-summary agent should first prove that its summaries are accurate and useful.
When adding an action, revisit the permission model and the tests. For a workflow involving wallets, continue with Bluwhale's crypto AI agent overview. For the distinction between preparing and authorizing a financial action, read our explanation of confirmation boundaries.
Common questions
Does a marketplace agent need permission to move funds?
No. Reading selected information, explaining changes and monitoring a condition can be valuable tasks. Request action authority only when the product's defined job requires it.
Are these Bluwhale's formal marketplace submission rules?
This is a practical preparation checklist. Follow the current developer documentation and applicable platform terms for formal eligibility, submission and distribution requirements.
When should an agent be retested?
Rerun its acceptance cases when changing the model, instructions, tools, permissions or data interpretation. Include any newly observed failure in the regression set.