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Explain what FlareWarden does

explain_features
Read-only

Use this when the user asks what FlareWarden can do or what it costs: "can FlareWarden watch cron jobs?", "how do you confirm an outage?", "what does a status page cost?", SSL certificate expiry, DNS changes, heartbeats, third-party dependencies, SLA and uptime reports, maintenance windows, alerts to Slack. Returns a catalogue of features (what each does, when it helps, how it works, its limits and plans) and the plans with their prices and limits. Pass a topic to get only the matching features; leave it out for all of them.

Input Schema

NameRequiredDescriptionDefault
topicNoOptional: what the user asked about, such as "cron jobs", "status pages" or "false alarms".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / topic / description
      Previous value: -"Optional: what the user asked about, such as \"cron jobs\", \"status page pricing\" or \"false alarms\"."New value: +"Optional: what the user asked about, such as \"cron jobs\", \"status pages\" or \"false alarms\"."
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint true, destructive false), and the description adds real value beyond them by disclosing the shape of the return: features with what each does, when it helps, how it works, limits, plus plans with prices and limits. Nothing contradicts the annotations, though it doesn't say anything about result size or paging.

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 trigger is front-loaded and the return shape follows immediately, with the parameter note last. The mid-sentence feature enumeration (SSL expiry, DNS changes, heartbeats, dependencies, SLA reports, maintenance windows, Slack alerts) is long, but it functions as query-matching vocabulary rather than 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?

There is no output schema, yet the description fully specifies what comes back and how the single optional parameter changes that. For a zero-required-parameter read tool, nothing an agent needs in order to call it correctly is missing.

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, but the description goes further by stating the actual filter semantics: passing topic narrows to matching features, omitting it returns everything. That behavioral contract is not expressed by the schema's 'what the user asked about' wording.

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 pairing: it returns a catalogue of FlareWarden features plus plans with prices and limits. The trigger examples ("what does a status page cost?", "can FlareWarden watch cron jobs?") make the tool's domain unmistakable and separate it from siblings like search_help or get_account_overview.

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?

Gives a concrete when-to-use condition — the user asking about capabilities or pricing — and explains the topic/no-topic branching. It stops short of naming a nearby alternative such as search_help and saying when that one is preferred, so the routing gap remains.

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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