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Get Office Action Rejections

get_office_action_rejections
Read-onlyIdempotent

Claim-level rejection data for every office action on one application. Returns AGGREGATE counts first (how many rejection records cite 35 U.S.C. 101/102/103/112, and double-patenting) and per-claim/per-record detail last. Use this before get_office_action_citations when the question is "what did the examiner reject this on", not "what references were cited".

Input Schema

NameRequiredDescriptionDefault
limitNoMax per-record rows to return in `records` (default 25, max 100). The `aggregate` block always covers every record USPTO returned for this application, not just `limit` of them.
_apiKeyNoUSPTO ODP API key. Get free at https://data.uspto.gov/myodp.
include_rawNoDebug escape hatch: skip normal parsing and return the bare upstream HTTP status + first 500 chars of body instead (fleet #3305 — diagnosing a request shape live, no redeploy needed).
application_numberYesUS patent application number, digits only or formatted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so safety is covered. The description adds useful non-schema behavior: the aggregate block covers every record while per-record detail is truncated, and the ordering of returned sections. It doesn't mention the API key requirement or failure behavior, but the schema covers the key.

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?

Three tight sentences: what it returns, how the response is ordered, and when to pick it over the sibling. Front-loaded and free of filler.

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?

With no output schema, the description usefully characterizes the return payload (aggregate statute counts plus per-claim/per-record detail), which is the main gap it needs to fill. Only minor omissions remain, such as error or empty-result behavior.

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 description coverage is 100%, including a careful note that `aggregate` always spans all records regardless of `limit`. The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ('claim-level rejection data for every office action on one application') and even specifies the shape of the result (aggregate counts first, per-claim detail last). It explicitly contrasts itself with get_office_action_citations, so an agent can disambiguate without opening the schema.

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?

Gives an explicit when-to-use rule: 'Use this before get_office_action_citations when the question is "what did the examiner reject this on", not "what references were cited".' The alternative tool and the deciding condition are both named, leaving nothing to inference.

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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