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Rootpublish AI facts check

company_statements

After you have answered the buyer questions: reads the company's pricing and service pages and returns its statements with instructions for comparing your answers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteYes
pagesNoPaths of the pages that state prices and terms, e.g. ["/pricing"]
companyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden: 'reads' implies a non-destructive fetch and it discloses that the return includes comparison instructions, which is real behavioral value. However, it never mentions that it retrieves live external web content, what happens if pages are unreachable, or any auth/rate constraints.

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?

A single sentence that front-loads the workflow precondition before the action. No wasted clauses, though the phrase 'instructions for comparing your answers' adds ambiguity rather than information.

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?

No output schema and no annotations, with two of three parameters undocumented — the description should therefore explain both inputs and the shape of the return. It only gestures at the return ('statements with instructions for comparing your answers') and says nothing about the required 'site' or optional 'company', leaving the definition incomplete for an agent to call it correctly.

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 coverage is only 33% — only 'pages' is documented in the schema, while 'site' (required) and 'company' are bare. The description does not clarify the roles of any of the three parameters or why both 'site' and 'company' exist, so it fails to compensate for the coverage 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?

States a concrete verb and resource ('reads the company's pricing and service pages and returns its statements') and positions itself in a workflow relative to buyer_questions, so an agent can distinguish it from its siblings. The trailing phrase 'with instructions for comparing your answers' is somewhat opaque, 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.

Usage Guidelines4/5

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

Gives an explicit sequencing precondition ('After you have answered the buyer questions'), which tells the agent when in the workflow to invoke it. It does not name verify_findings as the follow-on, nor state any when-not conditions, so it falls short of a 5.

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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