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legal_fetch_patent_citations

Fetch forward and backward citation chains for any patent to build prior art analysis. Provides citing and cited patents with filing dates and titles.

Instructions

Fetch forward and backward citation chains for a specific patent. Read-only. No side effects. Idempotent. patent_number: Patent number in EPODOC format e.g. EP1000000 for European, CN120586032 for Chinese, JP2020123456 for Japanese, WO2020123456 for PCT, US10000000 for US. Required. jurisdiction: Optional hint — one of EP, US, WO, CN, JP, KR, etc. Default EP. The tool normalises the patent number automatically; passing CN120586032 with jurisdiction EP is valid. Returns citing patents (forward citations) and cited patents (backward citations) with filing dates and titles. Use this when building a prior art citation chain for a specific patent you already have. Use legal_search_patents_by_keyword instead when you need to find patents by topic not by citation. Verified source: EPO OPS. 24-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="legal_fetch_patent_citations", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patent_numberYes
jurisdictionNoEP

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Describes read-only, no side effects, idempotent, verified source (EPO OPS), and 24-hour cache. No annotations present so description carries full burden; lacks mention of rate limits or maximum citation count but otherwise thorough.

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

Conciseness4/5

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

Well-organized and front-loaded with purpose, then params, usage, source, cache, and feedback instruction. Slightly verbose but every sentence adds value.

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

Completeness5/5

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

Covers purpose, input semantics, usage context, source verification, caching, and fallback feedback mechanism. Output schema exists so return values are not needed in description.

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

Parameters5/5

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

Schema coverage is 0%, but description fully compensates with detailed meanings, formats, examples (EP, US, CN, etc.), optionality, and normalization behavior for both parameters.

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?

Explicitly states it fetches forward and backward citation chains for a specific patent. Clearly distinguished from sibling tools like legal_search_patents_by_keyword and legal_fetch_patent_by_number.

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

Usage Guidelines5/5

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

Provides explicit when-to-use (building a prior art chain for a known patent) and when-not-to-use (finding patents by topic), with a specific alternative named (legal_search_patents_by_keyword).

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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