Skip to main content
Glama

searchOfficeDocs

Search for Office documents using a query string. Match and retrieve relevant files to access the information you need.

Instructions

Searches for Office documents matching a specific query string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query to find matching Office documents
Behavior2/5

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

No annotations are present, so the description must disclose all behavioral traits. It only states the search purpose, but fails to mention whether it searches content/metadata, whether results are paginated, return format, or any limitations. Minimal transparency for a search tool.

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?

The description is a single concise sentence, front-loaded with the key action and resource. Every word is necessary; no filler or redundancy.

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?

The tool is simple with one parameter and no output schema, yet the description lacks essential context such as what 'Office documents' includes, the type of match (content vs. filename), and what the return value looks like. Competes with many sibling tools but provides only minimal differentiation.

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%, and the description's 'query string' aligns with the 'query' parameter, but it adds no new semantics beyond the schema definition. Baseline of 3 is appropriate.

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 clearly states the tool's verb ('Searches'), resource ('Office documents'), and scope ('matching a specific query string'). It distinguishes from sibling tools like 'listOfficeDocs' and 'recentOfficeDocs' by focusing on search functionality.

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 usage for finding Office documents via a query, but does not explicitly state when to prefer it over alternatives like 'listOfficeDocs' or 'readOfficeDoc'. No exclusions or conditions are provided.

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/grantanderson603-bit/mcp-0b583'

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