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list_projects

Read-only

List all your Agent Analytics projects Anonymous preview is limited to agentanalytics-demo synthetic read-only data; sign in for your own projects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds meaningful context beyond that: the anonymous-preview response is limited to synthetic read-only demo data, which tells the agent what it will actually receive before authenticating.

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

Conciseness3/5

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

The purpose is front-loaded, but the two clauses run together without punctuation ('projects Anonymous preview...'), making the auth caveat read as a continuation of the object rather than a separate sentence. The content earns its place; the formatting does not.

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 zero-parameter list tool with no output schema, the description covers purpose, auth behavior, and result limitations. It omits what a project record contains, but the agent needs nothing further to invoke the call correctly.

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?

The tool takes zero parameters and schema coverage is 100%, so the baseline is 4. The description correctly implies the call is parameterless and scoping is determined by authentication state rather than arguments, which is the relevant semantic point.

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 and resource ('List all your Agent Analytics projects'), so the agent knows exactly what comes back. It does not distinguish itself from the sibling create_project or explain the difference between this and project-scoped tools, but the core purpose is unambiguous.

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 context — anonymous preview yields only the agentanalytics-demo synthetic read-only dataset, and signing in is required for real projects — which is genuinely useful for deciding whether the call is worth making. However, it never states when to call this versus create_project or the project-scoped analytics tools, so usage is only implied.

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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