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start_effort

Create a work effort from a plan and initial PERT estimates, recording work slices and rationale to support unbiased estimation and subsequent accuracy calibration.

Instructions

Create an effort from a plan artefact and an initial PERT estimate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
titleYes
likelyYes
plan_pathYes
rationaleYes
optimisticYes
pessimisticYes
work_slicesYes
summary_textYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
recordedYes
identifierYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only says 'Create' which suggests mutation, but does not explain side effects, required permissions, reversibility, or what happens to existing efforts. The output schema is not referenced, leaving the agent without expectations of the result.

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?

One sentence, no wasted words, and the core purpose is front-loaded. However, it is so under-specified it borders on a fragment, lacking any structural benefit for a complex 9-parameter tool.

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

Completeness1/5

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

Given 9 required parameters, no annotations, and an output schema, the description is woefully incomplete. It fails to explain any parameter semantics, preconditions, or return behavior, leaving most essential context missing.

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

Parameters1/5

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 only vaguely mentions 'plan artefact' and 'PERT estimate' without mapping to any of the 9 parameters (title, kind, plan_path, summary_text, optimistic, likely, pessimistic, rationale, work_slices). No meaning is added beyond the bare schema.

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?

States a specific verb ('Create') and resource ('effort'), and mentions two key inputs ('plan artefact' and 'initial PERT estimate'). This distinguishes it from siblings like finish_effort or add_slice, though it doesn't explicitly name alternatives.

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?

No guidance on when to use this tool versus siblings. The description implies you need a plan artefact and a PERT estimate, but does not state prerequisites, preconditions, or appropriateness relative to other lifecycle tools.

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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