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ping_slug

Ping that creates its own monitor on the first hit. Same slug = same monitor; 402 when the free tier is full, and then nothing is written. The slug becomes the monitor name and its identity: the same slug always means the same monitor, so a retry never creates a second one. Normalised to lowercase, [a-z0-9-], 40 chars. Creation happens only inside the free tier (or the trial); past it the ping is a 402 with accepts[] and nothing is written — not even the event. Works by GET or POST.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesName of the job; it becomes the monitor name.
ingestKeyYesIngest key, from `GET /api/ingest-key`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly: it discloses idempotence, slug normalization constraints, 402 failure behavior, side-effect guarantees ('nothing is written — not even the event'), and HTTP method flexibility. This is exactly the kind of context that an agent needs beyond the schema.

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?

The description is front-loaded with the core purpose and packs in dense, actionable constraints without filler. There is some repetition around 'nothing is written' and the same-monitor identity rule, but the repeated phrasings add useful nuance about free-tier limits and retry behavior.

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?

Given no annotations and no output schema, the description compensates well by covering idempotence, failure modes, validation rules, and HTTP methods. The main omission is the success response shape, but the description is still sufficient for an agent to invoke the tool correctly with the two required parameters.

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?

Schema coverage is 100%, so the baseline is 3, and the description adds substantial extra meaning for slug: normalized to lowercase, allowed character set, 40-char limit, and the fact that it becomes the monitor name and identity. It does not add further semantics for ingestKey, so it stops short of 5.

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 opens with a specific verb and resource ('Ping that creates its own monitor on the first hit') and immediately establishes the key identity rule: 'Same slug = same monitor'. This clearly differentiates the tool from a plain ingestion tool like ping_ingest, even though it doesn't name the sibling explicitly.

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?

The description gives strong context about when creation is allowed ('only inside the free tier (or the trial)') and what happens past that point (402 with accepts[]), but it never explicitly says when to choose this tool over ping_ingest or another alternative. The usage guidance is implied by the monitor-creation behavior rather than stated as a recommendation.

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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