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Address autocomplete (proxied; send session_token).

suggest_addresses

Address autocomplete (proxied; send session_token). Scope: quote.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNoWhat the customer has typed so far
session_tokenNoAny opaque string, kept for the whole typing session and the resolve call

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

The description discloses that the tool is 'proxied' and instructs sending a session_token, which adds useful context beyond the annotations about an external address service and persistent session state. However, it does not explain side effects, rate limits, or data handling details, so the disclosure is only partial.

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 description is very short and contains no filler. The key constraints (proxied, session_token, quote scope) are front-loaded. However, it closely mirrors the title and lacks enough substantive content to be considered a fully crafted description.

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

Completeness2/5

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

There is no output schema and the description does not describe the return value shape or the expected suggestion list format. It also fails to mention the natural follow-up call to resolve_address or explain how to obtain the session_token. An agent would struggle to integrate this into a complete autocomplete flow.

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?

The input schema already documents both parameters clearly: input is what the customer typed, and session_token is an opaque string kept for the session. The description only repeats the instruction to send session_token and does not add any meaningful new meaning beyond 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?

The description clearly identifies the tool as an address autocomplete function and adds a scope restriction ('quote'), which gives an agent a basic sense of purpose. However, it does not explicitly differentiate this from the sibling resolve_address, relying on the tool name to imply the distinction.

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?

The description provides almost no guidance on when to use this tool versus alternatives. 'Scope: quote' hints at a contextual boundary but does not explain when to prefer suggest_addresses over resolve_address or how the two interact. There are no exclusions or explicit conditions.

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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TDQS

A3.5/5.0
Disambiguation5/5

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).

Naming Consistency4/5

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.

Tool Count2/5

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.

Completeness4/5

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.

Resources