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Patlas — Patent Prior-Art Search

create_watch

Watches a technology area (payg/subscription/team only, up to 5 per account) — checked once a day, posting a JSON payload to the given HTTPS webhook URL whenever new matching US patent filings appear. US coverage only (PatentsView/ODP).

Input Schema

NameRequiredDescriptionDefault
queryYes
webhook_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral burden and does so well: it discloses check cadence (once a day), the side effect (posting a JSON payload to the webhook), the quota (max 5 per account), the entitlement gate (payg/subscription/team), and data coverage (US only via PatentsView/ODP). These are exactly the traits an agent cannot infer from the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Everything is packed into a single front-loaded sentence with no filler, and the core action plus constraints lead. The parenthetical stack makes it slightly dense, but nothing is wasted.

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?

For a two-parameter creation tool with no output schema and no annotations, the description covers cadence, delivery, quota, coverage, and entitlement. What is missing is the shape of the delivered payload and the query's expected syntax, which an agent would need to invoke it precisely.

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 0%, so the description must compensate for both parameters. It clarifies that webhook_url must be HTTPS and receives a JSON payload, and implies query is a technology-area query, but it never describes query syntax, matching semantics, or length expectations, leaving a meaningful gap.

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 names a specific verb+resource ('Watches a technology area') and adds the delivery mechanism and scope, so the purpose is unmistakable. It never explicitly distinguishes itself from siblings like list_watches or delete_watch, though the create-style framing makes the distinction obvious in practice.

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

Usage Guidelines4/5

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

It gives concrete eligibility and constraint guidance: payg/subscription/team plans only, up to 5 per account, US filings only. That is strong prerequisite context, but no alternative tool is named for users who want to list or remove watches, so it stops short of explicit when-to-use routing.

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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