get_ip_representative_profileReturn the bounded public evidence profile for one published IP firm or attorney. Provide exactly one numeric representative_id or public profile slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | Exact public IPRATE profile slug. | |
| representative_id | No | Published representative numeric ID. | |
| representative_type | No | Disambiguates an identifier shared by firm and attorney profiles. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the operation as read-only, idempotent, and non-destructive. The description adds useful context about public/published data and 'bounded' scope, though it does not define what 'bounded' means or mention error/rate-limit behavior.
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?
Two tight sentences with no filler. The main purpose is front-loaded, and the second sentence conveys the essential input constraint without wasting words.
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?
For a simple read-only profile getter with fully documented parameters and robust annotations, the description covers the critical input rule. It could be more complete by clarifying what 'bounded' means and what the returned profile includes, especially since there is no output schema.
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%, so parameters are already documented. The description adds the crucial 'exactly one' exclusivity constraint that the schema does not express, plus the numeric qualifier for representative_id. It does not discuss representative_type, but the schema enum handles that.
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?
States a specific verb ('Return') with a clear resource ('public evidence profile') and scope ('one published IP firm or attorney'). This distinguishes it from sibling tools like find_ip_representatives, which implies search/list behavior.
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 instruction to 'Provide exactly one numeric representative_id or public profile slug' gives clear invocation context for a known identifier. However, it never explicitly names alternatives or says when not to use this tool, leaving comparison with siblings implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool addresses a distinct query type: coverage discovery, representative search, single profile retrieval, and market snapshot. No two tools appear to overlap in purpose, and their required inputs make selection unambiguous.
All tool names follow a consistent snake_case verb_noun pattern, using 'get_' for retrieval and 'find_' for search. The noun components clearly identify the target resource: ip_representatives, ip_market_snapshot, iprate_coverage, and ip_representative_profile.
Four tools is a tight, well-scoped set for a read-only IP analytics server. Each tool earns its place and there are no redundant or filler tools.
For a static-release analytics server, the surface covers the full read-only workflow: determine coverage, search representatives, fetch a detailed profile, and obtain a market snapshot. Missing CRUD operations are not gaps because the server is explicitly bounded to published static cohorts.