Skip to main content
Glama
smythmyke

AI Patent Search

dossier

Fetch a full patent intelligence report: bibliographic data, claims, citations, family, classifications, examiner info, and similar documents for a given publication number.

Instructions

Fetch a comprehensive intelligence dossier for a patent by publication number. Returns bibliographic data (title, assignees, inventors, dates, legal status), independent claims, backward + forward citations, patent family, CPC classifications, examiner info, and similar documents. Costs 3 credits on a fresh fetch; subsequent calls within 24 hours read from cache and are free. The headline tool — most patent-analysis workflows start here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patentNumberYesPublication number in canonical form (e.g. US10867416B2, EP3500001B1). Accepts loose input like '10,867,416' or 'us10867416' — the server normalizes.
Behavior3/5

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

Discloses caching and credit costs, but no annotations exist; missing information on rate limits, errors, or authentication requirements.

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?

Every sentence adds value; starts with purpose, lists returns, explains costs, and positions tool. No wasted text.

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?

Comprehensively lists returned data despite no output schema; lacks mention of error handling or detailed format, but sufficient for a fetch 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?

Adds value beyond schema by explaining input normalization ('Accept loose input...'), which standard schema description does not convey.

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 'Fetch a comprehensive intelligence dossier for a patent' and lists all returned data types, distinguishing it from sibling tools like 'citations' or 'family'.

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?

Provides clear cost and caching behavior, and identifies as 'headline tool' where most workflows start, but does not explicitly mention when to avoid using it or alternatives.

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/smythmyke/patent-search-mcp-server'

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