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How the Fleek app works

how_fleek_works
Read-onlyIdempotent

Facts about the Fleek app and website, each with the platform it applies to and a reference page: the subscription manager (tracking renewals, reminders, finding forgotten subscriptions, splitting plans), buying subscriptions, FleekCoin rewards and cancelling. Also returns the app store and web links. topic narrows the answer to subscription_manager, buying, rewards or cancelling.

Input Schema

NameRequiredDescriptionDefault
topicNosubscription_manager, buying, rewards or cancelling. Omit for all four.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description usefully adds what the result contains (facts with an associated platform and reference page, plus app store and web links), which matters because there is no output 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 definition is compact and front-loads the core content areas before the parameter note. The parenthetical list inside the first sentence makes it dense and slightly run-on, but every clause carries information and nothing is padding.

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 only one optional enum parameter and no output schema, the description covers what is returned (facts plus platform, reference page, and store/web links) and how to scope results. The one missing piece is explicit differentiation from the sibling get_fleek_app, which an agent would want before choosing.

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% and the single parameter's enum and meaning are fully documented in the schema, including the 'omit for all four' behavior. The description restates the same four values with no additional syntax, defaults or edge-case guidance, so the schema does the heavy lifting and baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource (facts about the Fleek app and website) and enumerates the four content areas it covers, so an agent knows exactly what kind of result to expect. It does not, however, explicitly differentiate itself from the close sibling get_fleek_app, leaving some ambiguity about which one to pick.

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?

Usage is only implied: the topic enum plus 'Omit for all four' suggests this is a general knowledge lookup, and the enumerated subject areas hint at when it applies. There is no explicit when-to-use or when-not-to-use statement, and no routing to siblings such as get_fleek_app or find_deals.

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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