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List tracked keywords

list_keywords
Read-onlyIdempotent

Search keywords we track for your app, plus per-keyword roundup coverage (how many roundups, how many feature a competitor, whether any feature you).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idNoProject id from list_apps. Omit to use your most recently added project.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / app_id
      Added value: +{
      +  "description": "Project id from list_apps. Omit to use your most recently added project.",
      +  "format": "uuid",
      +  "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so safety is covered. The description adds real value beyond that by disclosing the shape of what comes back: roundup counts, competitor inclusion, and whether you are featured — information not present in annotations or any output schema.

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

Conciseness5/5

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

A single front-loaded sentence with the core action first and the payload detail second. No filler, no redundancy.

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?

With no output schema, the description carries the burden of describing returns, and it does so reasonably well for a list tool. Minor gaps remain (pagination, ordering, whether it's scoped to one project only), but nothing critical to invoking it correctly is missing.

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 coverage is 100% and the single app_id parameter is fully documented in the schema, including the 'omit to use most recently added project' default. The description adds nothing about parameters, which is acceptable at baseline for a one-param tool with full schema coverage.

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 (list/search) and resource (tracked keywords) scoped to your app, and additionally characterizes the payload (per-keyword roundup coverage). It is distinguishable from add_keyword/remove_keyword, though it doesn't explicitly contrast itself with other list_* tools.

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

Usage Guidelines2/5

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

There is no guidance on when to call this versus alternatives (e.g., list_competitors, get_overview) or prerequisites. The only usage-adjacent hint is embedded in the app_id schema, not the description.

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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