Skip to main content
Glama

search_entity_pair

Find documents containing two specific entities. Returns matching documents with entity counts and context snippets for targeted research on combined topics.

Instructions

Find documents that contain both entities. Useful for finding documentation about specific combinations (e.g., 'VIC-II' AND 'raster interrupt'). Returns documents with both entity counts and context snippets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity1YesFirst entity to search for
entity2YesSecond entity to search for
max_resultsNoMaximum number of documents to return (default: 10)
Behavior3/5

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

Without annotations, the description carries the full burden. It states the return type (documents with entity counts and context snippets) but does not disclose whether the operation is read-only, any side effects, pagination, or error handling.

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, no unnecessary words, front-loads the action and purpose. Every sentence adds value.

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?

Given no annotations or output schema, the description reasonably explains inputs and outputs. It could be more detailed about output format or ordering, but it is sufficient for a search tool.

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

Parameters4/5

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

Schema coverage is 100%, so each parameter has a description. The description adds value by providing concrete examples for entity1 and entity2 (e.g., 'VIC-II' AND 'raster interrupt'). No extra detail for max_results beyond schema.

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?

Description clearly states the tool finds documents containing both entities, with a concrete example. It differentiates from single-entity searches and sibling tools like search_entities or search_docs.

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

Usage Guidelines4/5

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

The description provides a use case ('finding documentation about specific combinations') and an example, implying when to use it. However, it does not explicitly mention when not to use it or suggest alternative tools among the many siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MichaelTroelsen/tdz-c64-knowledge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server