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Sleeper Hit Studio — Public Discovery

Fetch public Sleeper Hit discovery document

fetch
Read-onlyIdempotent

Fetch the full public discovery document for a search result by ID. Compatible with ChatGPT deep research and company knowledge.

Input Schema

NameRequiredDescriptionDefault
idYesSearch result ID returned by the search tool.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered. The description adds only that the document is 'public' (implying no auth/permission scoping) and 'full' (implying a heavier payload than a summary); it says nothing about response size, rate limits, or what happens for a non-existent or private ID.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core action and selector are front-loaded in the first sentence with no wasted words. The second sentence about ChatGPT deep research and company knowledge reads as promotional context that does not help an agent decide or invoke correctly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of describing what is returned, and 'full public discovery document' is vague about contents and size. It is adequate for a simple one-parameter read against rich annotations, but an agent gets no picture of the returned structure or error cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single 'id' parameter is already documented as the ID returned by the search tool. The description only echoes 'by ID' without adding format, provenance, or failure semantics, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Fetch) and resource (the full public discovery document) with a clear selector (by ID from a search result). It is distinguishable from list_* and find_* siblings, though it never explicitly contrasts with get_project_summary or search, which also return project-related content.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the schema note that the ID comes from the search tool suggests this is a follow-up to a search call, and 'full' implies a contrast with a summary tool. There is no explicit when-to-use, when-not-to-use, or named alternative, and the 'Compatible with ChatGPT deep research and company knowledge' line is a client note rather than guidance.

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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