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atlas_get_analytics

Read-onlyIdempotent

Get comprehensive talent analytics dashboard data for a hiring context (candidate stats, analysis coverage, fit score distributions). Requires context_id from atlas_create_context or atlas_list_contexts. Read-only summary, no downstream chaining needed. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
context_idYesContext ID from atlas_create_context or atlas_list_contexts

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pending_countNo
analyzed_countNo
top_candidatesNo
total_candidatesNo
analysis_coverageNo
average_gem_scoreNo
fit_score_distributionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Confirms readOnlyHint with 'Read-only summary'. Adds valuable context beyond annotations: cost ('Free'), dependency requirements (context_id source), and chaining behavior ('no downstream chaining'). Does not disclose rate limits or cache behavior, but annotations cover safety profile.

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?

Four distinct information units across three sentences: purpose/data contents, prerequisites, behavioral traits, cost. Front-loaded with primary action. Zero redundancy—every clause adds unique value not present in structured fields. Optimal density for an output-schema-backed tool.

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?

Given 100% schema coverage, comprehensive annotations (readOnly, idempotent, destructive, openWorld), and existence of output schema, the description provides sufficient context without needing to document return values. Prerequisites and cost disclosure complete the picture for agent decision-making.

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 already documents context_id source. Description reinforces with 'Requires context_id from atlas_create_context or atlas_list_contexts' but adds no new semantic meaning (format constraints, validation rules) beyond what the schema provides. Baseline 3 appropriate given schema completeness.

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?

Specific verb 'Get' + resource 'talent analytics dashboard data' + scope 'hiring context'. Parenthetical details (candidate stats, analysis coverage, fit score distributions) clearly distinguish this from sibling tools like atlas_get_analysis or atlas_get_candidate which retrieve individual records rather than dashboard aggregations.

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

Usage Guidelines4/5

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

Explicitly states prerequisite: 'Requires context_id from atlas_create_context or atlas_list_contexts'. Indicates usage pattern with 'no downstream chaining needed' (terminal operation). Missing explicit 'when not to use' or named alternatives for detailed candidate retrieval.

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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