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List recent API outages

list_recent_incidents
Read-onlyIdempotent

List recent API outages and degradations detected by APIzone, newest first. Optionally filter by category. Use this to answer 'what APIs have had problems recently?' or to check a category's incident history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax incidents to return (1-50).
categoryNoFilter to one category. One of: payments, ai, cloud, developer-tools, communication, email, auth, analytics, maps, commerce, social, media, data, finance, gaming, productivity, shipping, web3

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already communicate readOnly, idempotent, and non-destructive behavior. The description adds some useful context beyond the schema—outages plus degradations are included, and results are newest first—but it does not describe return shape, pagination behavior, or data freshness. This is moderate added value, consistent with a 3.

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?

Three short sentences each earn their place: the first defines scope and ordering, the second adds the filter option, and the third explains user intent. The most decision-relevant information is front-loaded with 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?

For a read-only list tool with zero required parameters, full schema coverage, and annotations covering safety, the description is complete enough for correct invocation. It tells the agent what is listed, how results are ordered, when to use it, and that category filtering is optional; the schema supplies parameter details.

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%, with the limit bounds and category enum fully described in the schema. The description only restates the optional category filter and does not add new parameter meaning, so the baseline 3 is appropriate.

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 states a specific action ('list'), a clear resource ('recent API outages and degradations'), and an explicit ordering ('newest first'). It also distinguishes itself from sibling status/uptime tools by framing itself as incident history, so an agent can disambiguate without inspecting sibling schemas.

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 user questions that should trigger this tool ('what APIs have had problems recently?') and mentions checking a category's incident history. It does not explicitly name sibling alternatives or state when not to use it, so it falls just short of 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

A4.4/5.0
Disambiguation4/5

Most tools have clear, distinct purposes: listing monitored APIs, checking individual status, checking multiple statuses at once, and retrieving uptime history. The only ambiguity is between check_apis and list_apis, as both return status information, though one targets specific APIs and the other provides a broader directory.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: check_apis, get_api_status, get_api_uptime, list_apis, list_recent_incidents. The verbs (check, get, list) are used predictably to distinguish action types, and nouns are descriptive.

Tool Count5/5

Five tools is an ideal size for an API monitoring server. Each tool covers a distinct monitoring need without redundancy or bloat, and the scope is tightly focused on status and reliability queries.

Completeness5/5

The tool surface fully covers the core domain: discovering tracked APIs, checking current status individually or in bulk, retrieving historical uptime, and listing recent incidents. No essential monitoring operation appears to be missing for common agent workflows.