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List what the project tracks in AI search

visibility_list_tracked
Read-onlyIdempotent

Lists what Hi, Moose tracks for a project in AI search and the exact values the other visibility tools accept as filters: every tracked prompt with its id, topics, engines and whether it is branded or non-branded; the topics and AI engines with prompt counts; the tracked competitors; the brand name, aliases and owned domains (the project website's host plus any secondary domains, the complete list used to judge branded prompts and own citations); the run schedule; and the span of stored answers (first and last day, answers stored, engines and topics seen). Call it before visibility_get_summary or visibility_list_results when the user names a topic, engine, prompt, page or competitor, so the filter values are exact. Reads stored settings only, nothing runs. Takes a few seconds.

Input Schema

NameRequiredDescriptionDefault
projectYesThe Hi, Moose project, by its name as shown by list_projects. The projectId is also accepted.

Output Schema

NameRequiredDescriptionDefault
errorNo
jobIdNo
statusNodone, failed, pending or running.
topicsNo
enginesNo
historyNo
projectNo
promptsNo
headlineNoOne sentence with the window, sample size and the main numbers.
progressNo
scheduleNo
createdAtNo
dataNoticeNo
competitorsNo
projectNameNo
filterValuesNoThe allowed values for promptType, sentiment, narrative, featureParity and sections.
schemaVersionNoVersion of this result shape. Fields are only added within a version.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint:false, so the safety profile is covered. The description adds value beyond that with 'Reads stored settings only, nothing runs' (no job side effects) and 'Takes a few seconds' (latency expectation), neither of which is derivable from structured fields. Not a 5 only because the read-only nature is partly restated.

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?

The usage guidance and the no-side-effects note are front-loaded and earn their place, but the long multi-clause enumeration of return contents duplicates what the existing output schema already conveys, making the description denser than necessary.

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 one-parameter read tool with a full output schema, this covers purpose, exact trigger conditions, side-effect profile, and latency. An agent has everything needed to decide to call it and to interpret the result.

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?

There is a single 'project' parameter with 100% schema description coverage, and the schema already explains that either the project name or projectId is accepted. The description adds no further parameter semantics, so the baseline of 3 is appropriate.

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?

The description opens with a specific verb+resource ('Lists what Hi, Moose tracks for a project in AI search') and then enumerates the exact payload: tracked prompts with ids/topics/engines/branded flag, topics and engines with counts, competitors, brand aliases and owned domains, run schedule, and stored-answer span. It is clearly distinguishable from siblings visibility_get_summary and visibility_list_results, which are named as downstream consumers.

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

Usage Guidelines5/5

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

Explicit when-to-use: 'Call it before visibility_get_summary or visibility_list_results when the user names a topic, engine, prompt, page or competitor, so the filter values are exact.' It names the alternatives and the triggering condition, which is exactly the routing signal an agent needs.

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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