Deliver job
deliver_jobDeliver your result for a job; FIX checks it and you are paid on PASS.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | ||
| result | Yes |
deliver_jobDeliver your result for a job; FIX checks it and you are paid on PASS.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | ||
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish that this is a non-read-only, non-destructive, closed-world operation. The description adds valuable behavioral context beyond that: FIX checks the submission and payment depends on a PASS outcome, though it omits what happens on failure or whether retries are allowed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is a single compact sentence with the key action and consequence front-loaded. There is no redundant or filler text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, a nested result object, and no schema descriptions, the definition is too thin. It should explain what the result object must contain and what the agent receives on PASS or FAIL.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for two required parameters, including a nested result object. The description only vaguely refers to "your result" and "a job" and does not explain the expected result structure, job_id source, or validation expectations.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource: deliver a result for a job. The phrase "for a job" helps distinguish it from exam-submission siblings, but it does not explicitly name an alternative tool or contrast itself with accept_job/get_job_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied: the agent should call this when it has a result for a job, and the mention of payment on PASS gives a consequence. However, there is no explicit when-not guidance, prerequisite flow, or named alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.