Skip to main content
Glama

generate_formal_ahj_response_packet

Compiles a formal comment-by-comment transmittal letter for permit examiner objections, adding code citations and revision cloud references, with PE verification before municipal upload.

Instructions

Official Municipal Plan-Check Response Letter Generator (Rule 2).

Compiles a formal Comment-by-Comment Transmittal Letter resolving examiner objections with code citations, revision cloud references, and an explicit Human-in-the-Loop Professional Engineer (PE) verification gate before municipal upload.

Args: permit_id: Permit identifier (e.g. "P-1042").

Returns: Official city response transmittal letter ready for engineer stamp and filing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
permit_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose one genuinely valuable behavioral trait — an explicit Human-in-the-Loop PE verification gate before municipal upload — but says nothing about permissions, idempotency, whether generation is re-runnable, or side effects on the permit record.

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 opening sentence is front-loaded and the workflow constraint follows immediately. The Args/Returns block is somewhat boilerplate and the Returns line partly restates what the output schema already declares, but it is short enough that no sentence is wasteful.

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 single-parameter generation tool with an output schema present, the description supplies the triggering context, the core workflow (objection resolution with citations), and the critical PE gate. The main missing element is what happens on failure or what a generated packet requires as follow-up input.

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?

Schema coverage is 0% for the single parameter, so the description must compensate. It identifies permit_id as a 'Permit identifier' and supplies a concrete example format ('P-1042'), which is meaningful guidance beyond the bare string type in the 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+resource: compiling a Comment-by-Comment Transmittal Letter that resolves examiner objections with code citations and revision clouds. It is clearly distinct in kind from the sibling tools (intake, fee estimation, search, readiness checks), though it never names a sibling to differentiate against.

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 context is implied rather than stated: the tool operates on examiner objections and must run before municipal upload, with a PE verification gate. There is no explicit 'use this when / not when' or reference to alternative tools, so the agent must infer the trigger condition.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.