library_get
[bot-library] Read one library entry (recipe, tools, version, signature, install and success counts). Args: slug.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
[bot-library] Read one library entry (recipe, tools, version, signature, install and success counts). Args: slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | 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 burden. 'Read' signals a non-mutating operation and the listed payload fields give useful output context, but auth requirements, behavior on missing/unknown slugs, and any rate limits are 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?
A single front-loaded sentence naming the resource and payload, with a terse args note. No wasted text, though 'Args: slug' adds little.
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 one-parameter read with no output schema and no annotations, enumerating the returned fields is genuinely helpful. Still missing are error/not-found behavior and permission expectations, leaving it only adequately complete.
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?
With 0% schema description coverage, the description must compensate, but 'Args: slug' only restates what the schema already declares (a required slug string). No format, casing, or resolution rules for the slug are added.
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?
States a specific verb and resource ('Read one library entry') and enumerates the fields returned (recipe, tools, version, signature, install/success counts). The word 'one' implicitly differentiates it from library_search, but no sibling is named explicitly.
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 'Args: slug' note implies this is for retrieving a single known entry, which weakly suggests library_search as the way to discover slugs. However, there is no explicit when-to-use/when-not guidance or naming of the alternative tool.
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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