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effort_table

Retrieve raw effort rows containing estimates, wall hours, and slice counts for analyzing estimation accuracy in work efforts.

Instructions

One near-raw row per effort: estimates, wall hours, slice counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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

C2.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'near-raw row,' which hints at unaggregated data, but it does not explicitly state that the operation is read-only, nor does it mention any side effects, prerequisites, or dependencies. This is insufficient for a tool with zero annotation coverage.

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?

The description is a single sentence, which is concise and front-loads the key idea about raw effort rows. However, it is also terse to the point of vagueness, lacking a verb and clear scope. The structure is clean, but the content is thin, so it earns a 4 for brevity but not for richness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has no parameters and an output schema exists, the description only needs to establish purpose and usage context. It provides a minimal idea that it returns raw effort rows with specific metrics, but it fails to explain how it relates to siblings or when it is preferable. The presence of an output schema covers return values, but the purpose remains ambiguous, making it minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there is nothing to explain in the description. The description mentions the content of rows (estimates, wall hours, slice counts), which relates to output rather than parameters. With 0 parameters, the baseline of 4 applies because the description does not need to compensate for missing parameter information.

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?

The description identifies the resource (effort) and hints at the output content (estimates, wall hours, slice counts), but it lacks an explicit verb like 'list' or 'get' and does not distinguish itself from siblings such as effort_detail or summary. The purpose is implied rather than directly stated, making it moderately clear but not precise.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus the many siblings (effort_detail, summary, current, etc.). The description does not mention any conditions, filters, or alternative tools, leaving the agent without a basis to select this tool over others.

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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