list_api_endpointsList the raw REST endpoints behind this server.
Use it together with api_request when you need something no curated tool
covers. The list is read from the live URL configuration, so it always
matches what the server actually serves.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum endpoints to return. | |
| query | No | Filter by path, view name or description, e.g. 'certificate'. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful context beyond that: the list is read from the live URL configuration and always matches what the server actually serves, implying fresh dynamic data rather than cached static content.
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?
Three short sentences, each earning its place: purpose, usage guidance, and a behavioral guarantee. The main point is front-loaded, with no redundant filler.
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 simple read-only list tool with two optional parameters and no output schema, the description covers purpose, when to use it, and a key behavioral property. Nothing essential is missing.
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?
Schema description coverage is 100%, so the parameter descriptions already document limit and query. The description does not add extra param-level semantics, but it doesn't need to, given complete schema coverage.
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 states a specific verb ('List') and resource ('raw REST endpoints behind this server'), and explicitly contrasts these with 'curated tools'. This clearly distinguishes it from the many sibling tools in the list.
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?
It gives explicit guidance: use with api_request when no curated tool covers what you need. This tells an agent exactly when to select this tool over the curated alternatives.
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.
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.
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.
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.
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.