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get_project_context

Read-only

Get compact self-improving project context: goals, activation events, event-name glossary, and major date annotations used to interpret analytics results. Anonymous preview is limited to agentanalytics-demo synthetic read-only data; sign in for your own projects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYesProject name or ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
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. The description adds one genuinely useful behavioral fact — the anonymous preview is restricted to agentanalytics-demo synthetic read-only data — but says nothing about size, caching, or how often the 'self-improving' context refreshes.

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, no filler, and the payload list is front-loaded before the access caveat. The colon-separated inventory is dense but readable; nothing obviously wastes space.

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 single-parameter read tool with no output schema and annotations covering the safety profile, the description covers what is returned and who can call it. Return shape details are modestly under-described, but the conceptual contents (goals, glossary, date annotations) are listed.

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?

Only one parameter exists and schema coverage is 100% ('Project name or ID'), so the schema fully documents it. The description adds no format hints such as whether the project value is a slug, UUID, or display name, which would be the only meaningful contribution here.

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 names a specific verb and resource ('Get ... project context') and enumerates the payload — goals, activation events, event-name glossary, date annotations. It is clearly distinct from sibling mutators like set_project_context, though it never explicitly contrasts itself with list_projects or the analytics_* readers.

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?

Usage is only implied: the clause about interpreting analytics results hints you fetch this before running analytics queries, but no explicit when-to-use, when-not-to-use, or named alternative is given. The sign-in note is access guidance rather than selection guidance.

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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