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Patlas — Patent Prior-Art Search

create_scan_report

Packages the findings from a patent_scan session into a paid ($299 one-time) Word document — pass every candidate mechanism found (with its search_prior_art/compare_claims results) as candidates. Returns checkout_url if payment is needed first (call this same tool again with the same candidates after paying), or the generated .docx file directly, delivered only to this authenticated session — never a public link.

Input Schema

NameRequiredDescriptionDefault
candidatesYes
project_nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
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 richly: paid ($299 one-time), returns a checkout_url requiring a repeat call with identical candidates after paying, otherwise returns the .docx directly, and delivery is confined to the authenticated session with no public link. Cost, idempotency, and delivery/security semantics are all disclosed.

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?

Front-loads the core action and packs cost, return flow, and delivery constraints into essentially one dense sentence with em-dash asides. Every clause earns its place, though the run-on construction is slightly harder to scan than discrete sentences would be.

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

Completeness5/5

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

For a two-param tool with a nested candidates array, no output schema, and no annotations, the description covers everything an agent needs: prerequisite inputs, cost, the checkout re-call loop, and the return artifact. Nothing material is missing.

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

Parameters4/5

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

Schema coverage is 0%, so the description must compensate, and it does: it defines `candidates` as every candidate mechanism found including its search_prior_art/compare_claims results. `project_name` is trivially self-evident. It could say more about the required sub-fields (mechanism/location/summary/matches), but coverage of the key parameter is solid.

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?

States a specific verb and resource: packages patent_scan findings into a paid Word document. The description makes it unmistakable which sibling it follows (search_prior_art/compare_claims) and what artifact it produces, so an agent can distinguish it from the other creation tools without opening the schema.

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?

Explains the sequencing context clearly: use it after a patent_scan session and pass the results found via search_prior_art/compare_claims. It also spells out the two-step payment re-invocation flow. It does not name when NOT to use it or any alternative, so it stops short of the 5-level.

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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