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Glama

Compensation Professional — compensation library, answers, and wage-compliance data

Search the compensation library catalog

search_library
Read-only

Search or list the compensation-focused book library by title/author substring and/or classifier tag. No filters returns the first page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoCase-insensitive classifier-tag substring.
limitNoMax rows to return (default 25, max 100).
queryNoCase-insensitive title/author substring.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagYes
countYes
queryYes
totalYes
resultsYes
contractYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds useful behavioral detail beyond the annotations, namely that omitting filters returns the first page, which helps set caller expectations for the default result set.

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 sentences convey the core purpose, the filtering dimensions, and the no-filter behavior with no wasted words. The most important information is front-loaded in the first sentence.

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 tool with three optional, fully documented parameters and an output schema present, the description covers the core usage and the important no-filter case. The only minor gap is that pagination behavior beyond 'first page' is not explained, but the output schema and annotations carry much of the remaining context.

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 descriptions cover 100% of parameters, so the baseline is 3. The description mostly reinforces what the schema already says ('title/author substring', 'classifier tag') and adds minor semantic value by noting filters can be combined with 'and/or', but it does not substantially extend parameter understanding.

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

Purpose5/5

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

The description states a specific action ('Search or list'), identifies the resource ('compensation-focused book library'), and names the search dimensions (title/author substring and classifier tag). This clearly distinguishes it from sibling tools like get_library_work or get_answer.

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 description implies when to use the tool: when searching or listing library contents by title, author, or tag, and it clarifies that no filters returns the first page. However, it does not explicitly compare against sibling tools or state when not to use it, leaving some inference to the agent.

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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