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Canon Episode Get

canon_episode_get
Read-onlyIdempotent

One podcast episode from CanonCannon with everything extracted from it — the ideas it raised, its guests, and the books mentioned. Get the slug from canon_episode_search. Requires a CanonCannon API key via _apiKey. Example: canon_episode_get({ slug: "pa-392-sleep-apnea" }).

Input Schema

NameRequiredDescriptionDefault
slugYesCanonCannon episode slug, from canon_episode_search.
_apiKeyNoCanonCannon API key (cc_live_...). Every /api/v1 endpoint refuses without it. Keys are issued by CanonCannon — https://canoncannon.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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 (readOnly, idempotent, openWorld), so the description is not carrying that burden; it adds the auth requirement (CanonCannon API key via _apiKey) and, importantly, describes what comes back since there is no output schema. It omits any error or rate-limit behavior, keeping it short of a 5.

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?

Three front-loaded sentences plus an example, with no filler. The inline example is mildly redundant with the schema's own examples field, a small deduction from an otherwise tight structure.

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 2-parameter read tool with no output schema, the description supplies the missing pieces: where the required identifier comes from, the authentication requirement, and the shape of the returned content. Nothing an agent needs to invoke it correctly is absent.

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 a baseline of 3 applies, but the description adds the provenance of the slug ('Get the slug from canon_episode_search') plus a concrete invocation example. That meaningfully exceeds what the schema's type/description fields convey.

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 ('One podcast episode from CanonCannon') and enumerates the extracted payload (ideas, guests, books mentioned). It is clearly distinguishable from the sibling canon_episode_search, which is the discovery counterpart.

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?

Explicitly routes the agent to canon_episode_search to obtain the slug, establishing the intended workflow order. It gives no explicit when-not-to-use condition, but the context is unambiguous.

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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