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TESSA Marketing & Technology

claim_listing

Record a firm's intent to claim its directory listing.

Pre-OAuth this does NOT automatically grant control of the listing. TESSA logs the claim and a representative reaches out via email within one business day to verify the claimant and switch the listing's verification status to 'claimed'. The full self-service OAuth-2.1 claim flow lands in a follow-up plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
firm_slugYes
claim_emailYes
claimant_nameNo
claimant_roleNo

TDQS

A4/5.0
Behavior5/5

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

The description explicitly discloses that the tool does NOT automatically grant control, logs the claim, triggers a manual email verification, and switches the verification status to 'claimed'. With no annotations provided, the description fully carries the burden and does so thoroughly.

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?

The description is three sentences, front-loaded with the primary purpose, then adding necessary behavioral details. No fluff or redundancy.

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?

The description explains the async process well but omits what the immediate return value or response looks like. Given there is no output schema, the agent is left without knowing whether the call returns a claim ID, status, or error. This is a clear gap for effective invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% coverage and the description does not explain any of the four parameters (firm_slug, claim_email, claimant_name, claimant_role). The description fails to compensate for the lack of parameter documentation, leaving the agent to guess the meaning and format of the inputs.

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 opens with 'Record a firm's intent to claim its directory listing,' which uses a specific verb and resource. This clearly distinguishes it from sibling tools like get_firm_profile or request_quote, which are read or quote-request operations.

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?

The description provides clear context on when this tool is applicable (pre-OAuth flow) and what to expect. It notes that a representative will follow up and that a full self-service flow is planned, but it does not explicitly name an alternative tool for immediate OAuth claims.

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

A4.1/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose. The get_* tools retrieve different data types (services, firm profiles, case studies, audit offerings), the request_* tools target different actions (introduction, quote, strategy session), and assess_ai_readiness and claim_listing are unique. No two tools appear to do the same thing.

Naming Consistency4/5

Tool names are all snake_case and follow a verb_noun structure, but the verbs vary (assess, claim, find, get, request) rather than using a single consistent pattern. The get_ and request_ subgroups are internally consistent, so the naming is readable and predictable despite the variety.

Tool Count5/5

With 10 tools, the server is well-scoped. Each tool serves a clear function in the marketing/directory domain: discovery (find, get), engagement (request, claim), and assessment (assess, get_wcag_audit). The count is neither sparse nor overwhelming.

Completeness4/5

The surface covers the core workflows: searching the directory, retrieving firm details and services, requesting intros/quotes/sessions, claiming listings, and checking AI readiness. Minor gaps exist (e.g., no tool to update a listing or access the compliance registry directly), but these are not likely to cause agent failures.

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