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Glama

get_agent_stats

Retrieve query statistics for AI agents. Use it to monitor and analyze agent performance within the Dispersl multi-agent orchestration platform.

Instructions

Get agent query stats

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden, and it delivers almost nothing. 'Get' weakly implies a read, but there is no statement about permissions, scope of agents covered, aggregation window, or return shape for what is clearly a stats-query tool.

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?

It is a single short sentence that is front-loaded, so it wastes no words, but the brevity comes from under-specification rather than efficiency. The one sentence does not earn its place by conveying anything an agent could act on.

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?

For a tool with an undocumented nested parameter, no annotations, no output schema, and several similar stats siblings, the description is far too thin. The agent has no basis to know what the tool returns or how it differs from get_usage_stats and get_language_stats.

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?

There is one parameter ('body') with 0% schema description coverage and a nested/additionalProperties structure, so the schema explains nothing. The description says nothing about what the body accepts (filters, time ranges, agent IDs), leaving the only input entirely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

It has a verb ('Get') and a resource ('agent query stats'), so the purpose is discernible, but 'agent query stats' is vague — it names no scope, time range, or metric set, and does not distinguish itself from siblings like get_usage_stats or get_language_stats. An agent could not confidently choose it over those neighbors.

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 when-to-use guidance, no exclusions, and no mention of the closely related get_usage_stats/get_language_stats siblings. The only implied usage is the generic 'if you want agent stats', which the agent must infer.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.