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knowledge_base

Read and manage markdown files detailing podcast hosts, style, and audience to guide accurate clip suggestions. Access this knowledge base before creating clips.

Instructions

Read or manage the podcli knowledge base. These are .md files that provide context about the podcast (hosts, style, audience, etc). Always read the knowledge base before suggesting or creating clips.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction to perform
contentNoMarkdown content for write action
filenameNoFilename for read/write/delete (e.g. 'style.md')
Behavior2/5

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

No annotations are provided, so the description must carry the burden. It names actions (read_all, list, read, write, delete) but does not disclose side effects (e.g., write behavior, delete permanence) or return types. Minimal behavioral context 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.

Conciseness5/5

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

Two sentences with no waste. The first defines purpose, the second gives usage guidance. Front-loaded and efficient.

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

Completeness2/5

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

No output schema exists, so return values are undocumented. The description does not describe what read or list returns (e.g., content vs. file list). Parameters are well covered, but context for output is missing, making it incomplete for a CRUD tool.

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%, so parameters are already documented. The description adds a filename example ('e.g. 'style.md'') but no further semantics beyond the schema. Baseline of 3 is appropriate.

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 clearly states 'Read or manage the podcli knowledge base' with specific reference to .md files providing podcast context. It distinguishes the tool's resource and actions, and the sibling tools do not overlap in function.

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?

The description explicitly advises 'Always read the knowledge base before suggesting or creating clips,' providing a clear context for use. It does not mention when not to use or provide alternatives, but the directive is strong.

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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