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Search my Library

search_library
Read-onlyIdempotent

Search inside the lists this person has access to: "what was that ramen place from the Tokyo list?". Only searches lists they can read in full.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listNoOptional: restrict to one list (handle/slug, slug, title, or id).
limitNoMax picks, 1 to 50. Defaults to 20.
queryYesSearch string, matched against pick titles, URLs, and descriptions.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world. The description adds a genuine permission nuance beyond structured data: it only covers lists readable in full, which affects result completeness. It still omits return/pagination behavior, but the access constraint is real added context.

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

Conciseness5/5

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

Two tight sentences: scope first, then a motivating example, then the access caveat. No filler, well front-loaded, and appropriately sized for a simple search tool.

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

Completeness4/5

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

For a read-only search with a fully documented 3-param schema and safety annotations, the description covers purpose, scope, and the read-access constraint. It could still clarify how it differs from the other search_* tools, which is the one meaningful gap.

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 coverage is 100%, so list, limit, and query are all documented in the schema already. The example adds a little intuition about what 'query' matches against, but the description supplies no syntax, format, or default details beyond the schema, so 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 (search) and resource (inside lists the person can access), with a concrete example query that clarifies it searches list contents. However, it does not distinguish itself from close siblings like search_items or search_lists, leaving the agent to infer the boundary between 'inside lists' and those alternatives.

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?

The ramen/Tokyo example implies the intended use case (find something you saw inside a list), and 'only searches lists they can read in full' hints at a precondition. But it never names an alternative tool or states when NOT to use this versus search_items/search_lists, so routing is left to inference.

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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