Get Assignee Patents
patents_by_assigneeAggregate USPTO patent dossier for one company: total grants, top CPC classes, recent grants, inventor counts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Assignee company name (substring) |
patents_by_assigneeAggregate USPTO patent dossier for one company: total grants, top CPC classes, recent grants, inventor counts.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Assignee company name (substring) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare this a safe, idempotent, closed-world read (readOnlyHint=true, idempotentHint=true, openWorldHint=false), so the safety profile is covered. The description adds that output is aggregated rather than raw records, which is useful context, but says nothing about result limits, pagination, or what happens with ambiguous/substring matches.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One dense front-loaded sentence with zero filler, listing the resource first and the returned aggregates after the colon. Efficient, though it could have used the spare words for sibling differentiation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description correctly enumerates the returned aggregate fields, and annotations cover the safety/idempotency profile. For a one-parameter read tool this is nearly complete; only usage routing and result-size behavior are absent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for the single 'name' parameter and it already documents that it is a substring match, so the description adds no parameter-level detail. Baseline 3 applies when the schema carries the full burden.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Names a specific verb ('Aggregate') and resource ('USPTO patent dossier') and enumerates the payload (total grants, top CPC classes, recent grants, inventor counts), so the agent knows exactly what it produces. It does not explicitly distinguish itself from the nearby 'patents_recent' sibling, which keeps it short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states what the tool returns but never says when to choose it over alternatives such as patents_recent, nor any prerequisite or exclusion. Usage must be inferred entirely from the resource name.
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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