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issue_stats

Aggregate issue counts by status, kind, severity, or source with optional time filters to analyze incident trends.

Instructions

Aggregate issue counts by status, kind, severity, or source.

Optional since/until are ISO-8601 timestamps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNo
untilNo
group_byNostatus

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description must carry the burden of behavioral disclosure. It indicates a read-only aggregation operation through 'Aggregate counts' but does not explicitly state that issues are not modified, nor does it disclose any limits, pagination, or error behavior. The ISO-8601 note for timestamps is useful but pertains to parameters, not behavior.

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?

The description is two sentences with zero filler. The core purpose is front-loaded, and the timestamp format detail is added only as needed. It is appropriately sized for a simple aggregation tool.

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?

Given the tool's simplicity, an output schema, and all-optional parameters, the description covers the essential context: what it aggregates, by which dimensions, and the timestamp format. Minor gaps like inclusivity of since/until are not critical for a counts tool, and the output schema handles return structure.

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 description coverage is 0%, so the description must compensate. It explains that since/until are ISO-8601 timestamps and implies group_by accepts status, kind, severity, or source. However, it does not explicitly link these values to the group_by parameter or list all possible values, leaving some ambiguity for an agent.

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 uses a specific verb ('Aggregate') and resource ('issue counts') and lists grouping dimensions (status, kind, severity, or source). This clearly differentiates it from sibling tools like search_issues (which likely returns lists) and get_issue (single issue). However, it does not explicitly name an alternative or state what it is not, so it is not 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 Guidelines3/5

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

The description implies usage for count-based aggregation rather than listing, but it does not explicitly say when to use this tool versus search_issues or get_issue. There is no mention of exclusions or prerequisites, leaving the decision to the agent's inference.

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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