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Contractor Foreman: Create daily log

contractor-foreman_create_daily_log

Contractor Foreman: New daily log on a project. Weather is recorded by Contractor Foreman for the date. Adds a daily log to the project for the date you give. Contractor Foreman records the weather itself; weather_notes sits next to it. The log reaches no client or crew and can be edited in the app, so this tool runs without asking. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesLog date.
notesYesWork done and site notes.
peopleNoCrews, subcontractors and visitors on site, with headcount or names.
project_idYesProject ID from list_projects.
weather_notesNoYour own notes next to the recorded weather.
materials_deliveredNoMaterials delivered to the site.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Beyond the annotations (write, non-destructive) the description discloses useful traits: weather is auto-recorded and weather_notes sits beside it, the log is not visible to client or crew, it is editable in-app, and it requires a Cotlet API key with app access. This adds genuine behavioral context rather than restating hints.

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?

Purpose is front-loaded, but the weather behavior is stated twice ('Weather is recorded by Contractor Foreman for the date' and 'Contractor Foreman records the weather itself'), and the sentences drift between weather, editability, approval, and auth. Tighter grouping would earn more.

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?

For a non-destructive write tool with no output schema and full schema coverage, the description covers the important behavioral facts (visibility, editability, auth requirement, weather handling). What is missing is guidance on related tools, but the core is complete.

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 coverage is 100%, so the schema already documents all six parameters. The description only clarifies weather_notes' relationship to the auto-recorded weather; it adds little beyond the schema for the other fields. Baseline 3 applies.

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?

Names a specific verb (create) and resource (daily log on a project) and states the date-scoping. An agent can distinguish it from the sibling list_daily_logs without opening a schema, though it never explicitly names that sibling.

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?

Usage is implied (add a log for a given date) but there is no explicit when-to-use vs when-not-to-use, and no reference to the companion list_daily_logs or update tools. The 'runs without asking' note hints at approval context but doesn't route between alternatives.

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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