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List free agents at an event

event_free_agents
Read-only

List participants at an event who are looking for a team.

Visibility follows the platform's own rule, not a full public roster: a normal caller only sees their own free-agent listing here, while an organiser of the event sees everyone's. Use team_matchmaking_teams on a listing's id for AI-ranked team suggestions for that person.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, starting at 1.
page_sizeNoRows per page (max 100).
event_slugYesSlug of the event.

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description's job is lighter. It adds meaningful behavioral context: visibility is not a full public roster and depends on whether the caller is a normal participant or an organiser. This is valuable detail beyond the schema and annotations, with 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.

Conciseness5/5

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

The description is compact and well-structured: a clear purpose sentence first, then the important visibility nuance, then a single actionable pointer to a related tool. Every sentence earns its place and nothing is redundant.

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?

For a simple read-only list tool with full schema coverage, the description covers purpose, visibility rules, caller-role behavior, and a follow-up tool reference. Nothing essential is missing for an agent to select and invoke it 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%, so event_slug, page, and page_size are already fully documented. The description adds no additional parameter-level meaning beyond the schema. This is the baseline 3 for high schema coverage.

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 starts with a specific verb and resource: 'List participants at an event who are looking for a team.' It adds a clear visibility distinction (normal caller vs organiser) that clarifies the exact scope. It doesn't explicitly name sibling tools to differentiate from, so it stops short of a 5.

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 gives clear context about when the tool is useful and describes how results vary by caller role. It also points to team_matchmaking_teams as the follow-up tool for AI-ranked suggestions, which is a useful alternative routing cue. It doesn't state explicit when-not-to-use conditions, so not a 5.

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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