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Get analytics

get_analytics
Read-only

Aggregated analytics for the org (optionally one project).

Input Schema

NameRequiredDescriptionDefault
daysNo
project_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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 structurally. The description adds the org-vs-project aggregation scope, which is genuinely useful, but says nothing about whether results are cached, how heavy the query is, or what happens when the window is large.

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 tight sentence with the scope constraint front-loaded and zero filler. It is efficient, though its brevity comes partly at the cost of the missing parameter and usage information noted elsewhere.

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?

With no output schema and 0% parameter coverage, the description should explain what metrics are aggregated and what the time window means. It leaves the 'days' parameter, default window, and returned data shape entirely unspecified for a two-parameter analytics tool.

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 description coverage is 0%, so the description must carry parameter meaning, and it only partially does. It implies project_id narrows scope, but never mentions the 'days' parameter at all, leaving the time window — arguably the most important control for an analytics call — completely unexplained.

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?

The description states a specific resource (aggregated analytics) and its scope (org-wide, optionally narrowed to one project), so an agent knows what it returns. No sibling tool touches analytics, so differentiation is implicit rather than stated, which holds it back from 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 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 use this versus other tools, nor any mention of prerequisites, defaults, or how to interpret an org-level versus project-level call. The parenthetical about 'optionally one project' hints at scope selection but does not state the condition for choosing it.

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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