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Site legal information

legal_info
Read-only

The service's legal identity, as the terms-of-service, privacy and support pages render it: the service and operating entity, whether that entity is registered and where, the contact and privacy email addresses, the postal address, the terms' effective date and the minimum age to hold an account.

Read it instead of hard-coding a copy — a client building its own footer, quoting the contact address, or answering "how old do I have to be" should take the values from here, where the pages themselves take them, so the two cannot drift apart. Public: it needs no account, and it is the same text an anonymous visitor already sees.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false. The description adds valuable context beyond annotations by stating that the data is public, needs no account, and is the same text an anonymous visitor sees. This clarifies access and provenance without contradicting the annotations.

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 a bit longer than average, but every sentence earns its place: the first enumerates the returned content, and the second provides rationale and usage guidance. The key information is front-loaded and there is no filler.

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?

There is no output schema, but the description compensates by itemizing the returned fields, explaining the public access, and giving examples of when to call it. For a simple, parameterless, read-only tool, nothing important is missing.

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?

There are zero parameters, so the baseline is 4. The description reinforces that no input is needed and that the data is publicly available, which is useful because the schema's empty properties object conveys only the absence of parameters.

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 names the resource ('the service's legal identity') and enumerates the exact contents: entity, registration, emails, postal address, terms date, and minimum age. It is specific enough to distinguish from most siblings, though it does not explicitly name another tool to compare against.

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 gives concrete use cases: building a footer, quoting the contact address, or answering age questions, and says to read this instead of hard-coding a copy. It does not explicitly mention when not to use it or name an alternative sibling tool, so it lacks the full 'when-not/alternatives' guidance.

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

A3.6/5.0
Disambiguation4/5

Tools are grouped by domain prefix and mostly target a distinct resource, but there are several near-overlapping read clusters — notably whoami/event_roles/event_my_membership (all answer 'what roles at event X'), submission_get/submission_page, team_open_roles/team_seeking_members, and company_employees/company_roster. The descriptions do an exceptional job of steering ('use this, not that'), so misselection is unlikely, but the sheer number of such pairs keeps this from a 5.

Naming Consistency4/5

The dominant domain_prefix + noun/verb pattern (event_, team_, submission_, company_, article_) is consistent and readable. Deviations: list_api_endpoints/list_capabilities invert the word order (verb-first) versus event_list/submission_list elsewhere, search and whoami carry no domain prefix, account_how_to_sign_in is a phrase, and read verbs vary between get/list/browse/page/preview.

Tool Count2/5

60 tools is far beyond the 25+ threshold, and the surface is purely read-only — the breadth comes from extremely granular views (22 event_* tools) and many singleton catalogs (event_cities, event_types, event_background_images, article_languages, tag_list, tech_list, company_vacancies) plus six meta/informational tools. The domain is genuinely broad and every tool is distinct, so it reads as heavy rather than chaotic, but the count is still excessive.

Completeness2/5

The set contains zero write tools — no create, update, or delete anywhere — yet the descriptions repeatedly direct callers to absent tools: event_create, event_set_branding, event_add_sponsor, event_submit_registration_answers, invite_join, team_post, team_assign_role, team_remove_member, company_fire_employee, account_export_data, and more. An agent following the descriptions will call nonexistent tools and fail. The read/browse coverage is very thorough, but the complete absence of the write side (which the descriptions themselves treat as existing) is a significant gap.

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