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Get Logging Requirements

get_logging_requirements
Read-onlyIdempotent

Get daily log compliance requirements.

Input Schema

NameRequiredDescriptionDefault
project_typeNoType of construction project to look up daily log compliance requirements for, e.g. residential, commercial, infrastructure.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / project_type / description
      Added value: +"Type of construction project to look up daily log compliance requirements for, e.g. residential, commercial, infrastructure."
    • addedInput schema / properties / project_type / examples
      Added value: +[
      +  "residential",
      +  "commercial",
      +  "infrastructure"
      +]
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

The annotations already declare readOnlyHint, idempotentHint, openWorldHint=false, and destructiveHint=false, so the description needs to add context rather than restate safety. It adds nothing about the shape of the returned requirements, whether requirements vary by day, or what happens when project_type is omitted, which matters because no output schema exists.

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?

A single short sentence with the resource front-loaded and no filler. It is efficient, though the brevity edges into under-specification rather than genuine density.

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?

For a one-parameter read-only lookup with full schema coverage and complete annotations, the description is adequate: it says what is fetched. It is not complete on its own, since it does not explain the default when project_type is omitted or what the requirements look like, and there is no output schema to fill that gap.

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% and the single project_type parameter is fully documented in the schema, including examples (residential, commercial, infrastructure). The description contributes no additional semantics, such as the effect of omitting the optional parameter, so the 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?

States a specific verb plus resource: fetching daily log compliance requirements. That is clear enough to distinguish it from create_daily_log_template (a write) and list_construction_faq (a general FAQ lookup), though the description never actually names or contrasts those siblings.

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?

There is no guidance on when to call this versus create_daily_log_template, and no mention of prerequisites or of what to do with the result. The 'daily' qualifier and the project_type parameter imply a lookup-before-logging workflow, but the agent has to infer that.

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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