fetch
Use this when ChatGPT needs the full public text for a specific PariteCK page returned by search. Never returns private company or employee data.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Public page id returned by search. |
Use this when ChatGPT needs the full public text for a specific PariteCK page returned by search. Never returns private company or employee data.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Public page id returned by search. |
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 burden. It does disclose one genuinely useful behavioral trait beyond the schema: a privacy guarantee that private company or employee data is never returned. However, it says nothing about auth requirements, rate limits, or failure behavior, so it only partially covers what an annotation-free read tool should.
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?
Two tight sentences with no filler; the usage condition is front-loaded and the privacy caveat follows. The phrase 'needs the full public text' is slightly padded but harmless. Efficient overall.
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 single-parameter read tool with no output schema, the description covers purpose, the dependency on search results, and a key privacy boundary. It is nearly complete; only behavioral detail like error handling or auth would improve it.
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 100%, with the single 'id' parameter documented as 'Public page id returned by search.' The description reinforces that the id comes from search, but adds no format, syntax, or sourcing detail beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.
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?
Names a specific verb (fetch) and resource (full public text for a specific PariteCK page), and explicitly scopes it to pages that came back from search. This distinguishes it from the sibling 'search' tool, which presumably returns page listings rather than full text. Not quite a 5 because the resource noun is a bit product-specific, but an agent can tell what it does.
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?
Gives clear when-to-use context: call it when the agent needs the full public text for a page that search already returned. This implicitly defines the prerequisite (a page id from search) and rules out blind fetching. It doesn't state explicit exclusions or alternatives, which keeps it below a 5.
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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