GleanMark USPTO Trademark Search

Analyze a TTAB Proceeding

analyze_ttab_proceeding

Analyze a TTAB (Trademark Trial and Appeal Board) proceeding in depth — fetches and analyzes proceeding documents, identifies key arguments, and returns a structured summary with timeline, party positions, and strategic assessment. For authenticated full-mode runs this launches asynchronously (typically 1-2 minutes) and returns a processing handle used to retrieve the completed result once ready.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "proceeding_number": "<proceeding_number>"
    },
    "name": "analyze_ttab_proceeding"
  }
}

Input Schema

Name	Required	Description	Default
`quick_mode`	No	Quick mode skips lower-priority documents for faster results
`proceeding_number`	Yes	TTAB proceeding number (e.g., "91284756")

Schema Changelog

Changes observed during successful MCP inspections.

AddedMar 17, 2026

TDQS

A4.2/5.0

Behavior5/5

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

The description discloses a significant behavioral trait: asynchronous execution for authenticated full-mode runs (1-2 minutes) and the need to retrieve a processing handle. This goes beyond the annotations, which only state readOnlyHint=false and destructiveHint=false. It adds practical context for agent invocation.

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, both informative. The first sentence states purpose and outputs; the second covers the async caveat. No wasted words, and critical details are front-loaded.

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?

The description covers the output summary, async behavior, and timing, which is sufficient for a call. However, it leaves ambiguity about non-authenticated runs (only 'authenticated full-mode' is mentioned) and does not describe what the processing handle looks like. Minor gaps for a tool of this complexity.

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% (both quick_mode and proceeding_number have descriptions). The tool description does not add parameter-level meaning beyond the schema, so the baseline score of 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?

The description uses a specific verb-resource pair ('Analyze a TTAB proceeding in depth') and enumerates concrete outputs (structured summary, timeline, party positions, strategic assessment). It clearly differentiates from sibling tools like get_ttab_proceeding_details, which presumably provide raw details rather than analysis.

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 use case is implied (in-depth analysis of a TTAB proceeding), but the description never mentions sibling alternatives or conditions for using this tool versus get_ttab_proceeding_details or search_ttab_proceedings. No exclusions are provided, so guidance remains vague.

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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