documents_list
PDF documents core made for a job (photo reports, daily logs and submitted forms), newest first, with each file's sha256.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
PDF documents core made for a job (photo reports, daily logs and submitted forms), newest first, with each file's sha256.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
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 carries the full behavioral burden. It usefully states newest-first ordering and that each file includes a sha256, but does not mention pagination, limits, permissions, or whether all document types are included versus only 'core' ones. That leaves important list behavior undisclosed.
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 compact sentence with the key resource and ordering front-loaded. It avoids repetition and padding. The wording is slightly compressed and awkward, but still efficient.
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 simple one-parameter list tool with no output schema, the description is close to adequate: it says what is listed, the order, and one returned field. However, it omits basic list semantics such as pagination or result limits, and it does not clarify the meaning of 'core' versus other document types. These are relevant gaps for an agent calling the endpoint.
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%, so the description should explain the single job_id parameter. It implies job scoping through 'made for a job', but does not clarify that job_id is the filter key, nor its UUID format or required status. The schema supplies the type and required flag, but the description adds only minimal semantic meaning.
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 states a specific resource: PDF documents for a job, limited to core items such as photo reports, daily logs, and submitted forms. It also discloses ordering and a returned field, which helps distinguish it from retrieval-style siblings like documents_get. The phrasing 'documents core made for a job' is slightly awkward, but the scope is understandable.
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?
It implies the tool lists documents for a job, but gives no explicit when-to-use guidance or comparison to alternatives. It does not say when to use documents_list rather than documents_get, documents_photoReport, documents_dailyLog, media_list, or shares_list. The agent must infer the routing decision.
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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