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StatusCake MCP by usefulapi

List uptime checks

statuscake_list_uptime_checks
Read-only

List uptime checks with their current status (up/down), type, URL, check rate, tags and uptime percentage. Filter by status or tags. StatusCake: GET /uptime.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage of results, starting at 1.
tagsNoComma-separated tags; only checks carrying these tags are returned.
limitNoResults per page, 1-100 (default 25).
statusNoOnly checks currently in this state.
matchanyNoWith tags: return checks matching ANY of the tags instead of ALL of them.
nouptimeNoSkip calculating uptime percentages (faster for large accounts).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.7/5.0
Behavior3/5

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

readOnlyHint=true already declares the safe-read profile, so the description doesn't need to re-establish that. It adds the StatusCake API mapping (GET /uptime) and confirms uptime percentages are computed, but says nothing about pagination defaults beyond what the schema documents or about cost of the uptime calculation. Some added context, but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

Two front-loaded sentences with no filler — the returned-field list comes first, then the filter capability. The trailing 'StatusCake: GET /uptime' is the only borderline element, mildly redundant but cheap.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description usefully enumerates the shape of each returned check, compensating for the missing return documentation. Pagination behavior (page/limit defaults) is left entirely to the schema, and there's no mention of result volume, but for a 6-param optional-filter list tool this is nearly complete.

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 description coverage is 100%, so the baseline is 3. The description's 'Filter by status or tags' mirrors the status/tags schema entries without adding syntax, defaults, or interaction rules (e.g. how matchany pairs with tags, or the nouptime tradeoff) beyond what the schema already states.

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?

States a specific verb and resource ('List uptime checks') and then enumerates the returned fields (status, type, URL, check rate, tags, uptime percentage), which cleanly separates it from get_uptime_check and the ssl/heartbeat/pagespeed list tools. An agent knows exactly what this tool produces without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It notes the filtering capability ('Filter by status or tags') which implies the intended browsing/filtering use case, but never states when to prefer this over statuscake_get_uptime_check or the other list_* siblings, and gives no exclusions. Usage is inferable rather than stated.

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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