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Track a competitor

add_competitor
Idempotent

Track a competitor for the connected brand, so every answer is checked for whether it is named. Pass the domain when the user knows it, which is what makes the match reliable for a common company name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe competitor's name as buyers say it.
domainNoTheir website, if known. A bare domain is fine.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds non-annotation context: tracked competitors cause answers to be checked for name mentions, and domain improves match reliability. It does not note any side effects like quota or sync delays, so it stops short of a 5.

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?

Two sentences, the core action and its consequence front-loaded, with the parameter advice second. The trailing clause about common company names is slightly wordy but carries real information, so 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 mutation tool with full annotation coverage and no output schema, the description covers purpose, effect, and parameter nuance adequately. It need not explain return values, though it could say more about what happens if the competitor already exists (beyond the idempotentHint).

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 100%, so the baseline is 3, but the description adds genuine meaning beyond the schema: domain 'is what makes the match reliable for a common company name,' which explains why the optional parameter matters, and 'as buyers say it' semantics for name align with the schema text.

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 specific verb ('Track') and resource ('a competitor for the connected brand') and explains the effect of tracking ('every answer is checked for whether it is named'), so the agent knows what registering a competitor actually does. It does not explicitly name the sibling remove_competitor, but the inverse relationship is inferable from the tool name.

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

Usage Guidelines3/5

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

It gives conditional guidance on a parameter ('Pass the domain when the user knows it'), which is useful, but never states when to reach for add_competitor versus adjacent tools like track_question or my_brand. Usage context is implied rather than stated.

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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