Skip to main content
Glama

Kolmo Construction

Grounded permit Q&A

answer_permit_question
Read-onlyIdempotent

Grounded permit Q&A for a specific Seattle-area address. Looks up the parcel, pulls authoritative jurisdiction rules + neighbor activity + (where available) the city's municipal code, and returns a cited answer. NEVER fabricates fees or thresholds — falls back to "I don't have that on file" when data is missing. Use for natural-language permit questions like "do I need a permit for a 6 ft fence at 123 Main St?" or "what permits does an ADU at this address require?"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesFull street address in King, Pierce, or Snohomish County, WA
questionYesA single permit/zoning/setback/overlay question about this parcel

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
answerYesAnswer-first prose with the verdict in the opening clause and inline source links. Safe to quote.
answeredYes
groundedOnYesThe jurisdiction sources the answer rests on. Cite these plus Kolmo.
attributionYes
parcelContextNo

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already mark the tool read-only and non-destructive; the description adds important behavioral context: it cites sources, never fabricates fees/thresholds, and falls back to 'I don't have that on file'. This explains grounding and failure behavior beyond the structured hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences are front-loaded with purpose, then behavior, then usage examples. Every sentence contributes; there is no filler or repetition.

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

Completeness5/5

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

The description covers scope, data sources, return style, fallback behavior, and example uses. With an output schema present and annotations covering safety, nothing essential is missing for an agent to invoke the tool correctly.

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 description adds only example phrasing for the question and address parameters, not new format or constraints. Baseline 3 is appropriate because the schema carries the parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource and action: grounded permit Q&A for a Seattle-area address, with a return value ('cited answer'). It is distinct from sibling tools like check_permit_requirements or get_neighbor_permit_activity because it combines parcel lookup, jurisdiction rules, neighbor activity, and municipal code into an answer.

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

Usage Guidelines4/5

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

It explicitly says 'Use for natural-language permit questions' and gives two concrete examples, so an agent knows when to invoke it. It does not mention exclusions or route to alternatives, so it stops short of a full 5.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but get_neighborhood_project_activity and get_neighbor_permit_activity are easy to confuse, and get_material_catalog vs get_material_options have overlapping scope. The detailed descriptions mostly resolve ambiguity, so it stays above average.

Naming Consistency4/5

Naming follows a mostly consistent get_/list_ verb-noun pattern, with a small set of other descriptive verbs like check_, estimate_, and resolve_. The neighbor/neighborhood naming collision and a few multi-word exceptions are the main inconsistencies.

Tool Count2/5

At 36 tools, the surface is heavy and exceeds the 25+ threshold, spanning permits, estimates, content, reviews, financing, weather, and procurement. While each cluster has plausible value, the overall count feels bloated for an agent to navigate efficiently.

Completeness4/5

The set covers a broad lifecycle: permit research, estimates, licensing, financing, ROI, weather, project/services content, reviews, and lead submission. Minor gaps like scheduling/booking and direct estimate persistence prevent a perfect score.

Resources