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Leaderboard

leaderboard

Rank coding sessions by selected metric—distance, elevation, duration, effort, tokens, or tool calls—to see which sessions stand out.

Instructions

Rank logged sessions by a metric: distance, elevation, duration, effort, tokens or tool_calls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
metricNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3.1/5.0
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 burden of behavioral disclosure. It states the ranking behavior but omits important details such as whether the call is read-only, the sorting direction, default limit behavior, or the shape of the returned leaderboard. This is insufficient for an unannotated tool.

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 a single sentence that front-loads the core action and resource and lists the metric options without any filler. It is efficient and easy to scan.

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?

Given no annotations and no output schema, the description is not complete enough for confident invocation. An agent is left without information about the return value format, default parameters, or how the ranking is ordered. The description covers only the basic function.

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?

The description lists the metric enum values, but these are already fully captured in the schema. It adds no explanation of what 'effort' means, and it says nothing about the 'limit' parameter. With 0% schema description coverage, the description fails to compensate for the missing parameter semantics.

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?

The description uses a specific verb ('Rank'), names the resource ('logged sessions'), and enumerates the valid metrics, making it easy for an agent to understand what the tool does. It clearly distinguishes this from sibling tools like list_activities or recap, which have different purposes.

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?

The description provides no guidance on when to use this tool versus its siblings. It does not mention alternatives or scenarios where ranking would be inappropriate; the use case is only implicit in the name and the verb 'Rank'.

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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