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Get Full Persona

get_full_persona
Read-onlyIdempotent

Load a product's complete persona definition. PREMIUM (paid plan).

Typical input {"slug": "inbox-zero-assistant"} returns {"slug": ..., "persona": ""}.

Returns the persona text alone, with no skill bodies. Use when the caller needs the product's voice and operating rules only. Not when skills are also wanted - get_full_product returns persona and every skill in one call. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""} (for example {"error": "unknown slug ''"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesProduct slug exactly as returned by search_catalog.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint. Description confirms these and adds critical behavioral details: on invalid input it returns an error object (never a protocol error), the exact error format, and the retry safety guarantee. This is valuable context beyond the annotations.

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?

The description is concise with no wasted words. It follows a logical structure: purpose, plan restriction, example, usage guidance, error behavior, and safety note. Each sentence serves a distinct purpose.

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 tool with one parameter and an existing output schema, the description covers purpose, usage context, error handling, content returned, and relationship to siblings. It provides everything an agent needs to select and invoke the tool correctly.

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 has 100% coverage with description 'Product slug exactly as returned by search_catalog.' The description adds a helpful example input ('inbox-zero-assistant') that clarifies the expected format, providing slight extra value beyond the baseline.

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 the tool 'loads a product's complete persona definition' with specific verb 'load' and resource 'persona definition'. It distinguishes from sibling tool 'get_full_product' by noting this returns only persona text, not skills.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use: 'Use when the caller needs the product's voice and operating rules only.' Provides clear alternative: 'Not when skills are also wanted - get_full_product returns persona and every skill in one call.' Also notes 'PREMIUM (paid plan)' as a prerequisite and explains error recovery.

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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TDQS

A4.7/5.0
Disambiguation4/5

The tools are mostly distinct, but the four get_full_* tools (kit, persona, product, skill) share a similar naming pattern and could be confused. Descriptions clarify the different payloads, so an agent can select correctly with careful reading.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern (get_free_skill, list_kits, search_catalog, etc.). The verbs vary by action but the structure is uniform and predictable.

Tool Count5/5

10 tools cover catalog search, recommendation, preview, and tiered content retrieval. This is well-scoped for a product catalog server, neither too few nor too many.

Completeness4/5

The surface covers browsing, searching, recommending, previewing, and retrieving free/full content, plus upgrade info. Minor gap: per-product pricing is not available except for kits, so agents cannot quote individual product prices directly.

Resources