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GleanMark Trademark Search

Trademark Analytics

get_trademark_analytics
Read-only

Get aggregate statistics about USPTO trademark filings, registrations, and TTAB proceedings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricYesType of analytics to query
end_dateNoEnd date for custom period (YYYY-MM-DD)
group_byNoyear
nice_classNo
start_dateNoStart date for custom period (YYYY-MM-DD)
time_periodNolast_year

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / group_by / description
      Removed value: -"Group results by time period (for filing_trends)"
    • changedInput schema / properties / metric / description
      Previous value: -"Type of analytics: filing_trends (filings over time), registration_stats (success rates), nice_class_distribution (top classes), ttab_trends (oppositions/cancellations), status_breakdown (live/dead/pending)"New value: +"Type of analytics to query"
    • removedInput schema / properties / nice_class / description
      Removed value: -"Filter by specific Nice class (1-45)"
    • removedInput schema / properties / time_period / description
      Removed value: -"Time period for analysis"
  2. First observed

TDQS

B3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true and destructiveHint=false, so the safe read nature is known. The description adds scope (filings, registrations, TTAB proceedings) but does not disclose any additional behavioral traits such as data granularity, default time periods, or potential response shapes. This is adequate but not rich.

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, front-loaded sentence that clearly states the tool's function without any fluff. It is concise and every word earns its place.

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

Completeness2/5

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

Given the complexity (6 parameters, no output schema), the description is too sparse. It does not explain how metrics relate to parameters, what 'aggregate statistics' returns, or how to handle default vs. custom periods. The agent may struggle to know what to expect or how to construct a valid request.

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

Parameters2/5

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

Schema description coverage is 50%, with three parameters lacking descriptions (group_by, nice_class, time_period). The tool description provides no parameter information whatsoever, failing to compensate for the gaps. The enums help somewhat, but the description adds no meaning beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool's purpose: retrieving aggregate statistics across USPTO trademark filings, registrations, and TTAB proceedings. It uses a specific verb ('Get') and resource ('aggregate statistics'), which distinguishes it from more specific analytics tools like get_owner_filing_trends or get_top_filers, though it doesn't explicitly name alternatives.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus sibling analytics tools. It does not mention alternatives, exclusions, or prerequisites. The metric enum in the schema implies some usage context, but the description itself offers no direction.

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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