hydracept_job_inspect
Inspect error, diagnostics, receipt summary, request snapshot, and reuse candidate for one job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Inspect error, diagnostics, receipt summary, request snapshot, and reuse candidate for one job.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It does not explicitly state whether this is a read-only operation, whether any side effects occur, or if permissions are required. The verb 'inspect' hints at read-only but is not explicit. This gap is significant for a tool without annotation support.
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?
The description is a single, concise sentence that efficiently enumerates the tool's scope. It is front-loaded with the action and resource, and every listed item adds value. No filler or redundancy.
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?
For a tool with one parameter and an output schema, the description covers the core functionality. However, it lacks usage guidance and any caveats (e.g., prerequisites, limitations). It is adequate but not comprehensive, especially given the lack of annotations to supplement context.
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%, meaning the schema provides no descriptions for the sole parameter job_id. The description does not mention job_id at all, so it adds no meaning beyond the parameter's name and type. The description must compensate for low coverage but does not.
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 clearly states the verb 'inspect' and the resource 'one job', listing specific aspects it covers (error, diagnostics, receipt summary, request snapshot, reuse candidate). This is specific enough to distinguish from siblings like hydracept_job_status or hydracept_get_receipt, though it does not explicitly name alternatives.
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?
The description provides no explicit guidance on when to use this tool versus alternatives. The list of inspected items implies use when detailed error/diagnostics are needed, but no exclusions or direct references to sibling tools are given. An agent must infer the intended context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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