Home sizes for the ballpark step (2br_apt, 3br_house, …).
list_home_profilesHome sizes for the ballpark step (2br_apt, 3br_house, …). Scope: quote.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_home_profilesHome sizes for the ballpark step (2br_apt, 3br_house, …). Scope: quote.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the domain scoping ('ballpark step', quote) but does not describe return format, ordering, pagination, or other behavioral details. No contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and scannable, and the 'Scope: quote' addition is the only substantive extra over the title. There is minor duplication between title and description, but no wasted sentences.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless list tool with no output schema, the description would be stronger if it explicitly stated that the tool returns a list of home-profile labels. The examples and scope help, but the return shape is left implicit.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero properties and zero required parameters, so there are no parameters for the description to document. The baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies a specific resource (home sizes) and a clear context ('ballpark step', 'Scope: quote'), with concrete examples of values. It falls short of a perfect score because it lacks an explicit verb like 'lists'—the action is only implied by the tool name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
'For the ballpark step' and 'Scope: quote' provide clear context for when this tool is relevant. It does not name alternatives or state explicit exclusion conditions, so it does not reach the top score.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct action or resource: job lifecycle, upload steps, quote variants, key management, and webhook replay are clearly separated. Even the three pricing tools are differentiated by context (pre-job ballpark, direct quote, date-window pricing).
Almost all tools follow a verb_noun snake_case pattern (create_job, list_jobs, set_contact, rotate_key). Minor deviations like ballpark_estimate (no verb) and get_cube_sheet_csv (format suffix) keep it from being perfectly consistent.
32 tools is a large surface for a survey tool, crossing the 25+ threshold. Many key-management and webhook-delivery tools feel like a separate API admin surface rather than core survey workflow.
The core survey flow is well covered: create job, capture contact/access/date, upload video, edit inventory, approve, book, and report outcome. Minor gaps like no cancel/delete job or webhook subscription management are workarounds.