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Appie.run

create_author

Create an author profile. Bio must be at least 50 characters. Optionally include a writing sample of at least 100 characters so create_article can use this voice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bioYesAt least 50 characters.
is_activeNoDefaults to true.
author_nameYes
sample_titleNo
sample_contentNoOptional writing sample, at least 100 characters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose two real constraints (bio >= 50 chars, sample >= 100 chars), but says nothing about whether names must be unique, whether creation is idempotent, what permissions are needed, or what a failed validation returns.

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 short sentences with the core action first, then the two constraints, then the optional-field rationale. Nothing is padded, though the bio length rule is repeated verbatim from the schema, which costs a few words.

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

Completeness3/5

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

For a 5-parameter creation tool with no annotations and no output schema, the description covers the core action and constraints but leaves the return value (new author identifier), uniqueness behavior, and the sample_title/sample_content pairing unexplained. Adequate but with clear gaps.

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 60%: bio and sample_content are documented in-schema, while author_name, sample_title, and the is_active default are covered partly or not at all. The description restates the length rules but does add meaning by tying sample_content to how create_article will use the voice, though it never clarifies that sample_title pairs with it.

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?

States a specific verb and resource ('Create an author profile'), which is immediately distinguishable from reads like list_authors or mutations like add_author_sample. It does not explicitly contrast itself with the related sibling add_author_sample, which also attaches a sample to an author, leaving a small ambiguity about which entry point to use.

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?

The description gives useful downstream context ('so create_article can use this voice'), which implies when the optional sample is worth providing. It does not state prerequisites, ordering relative to add_author_sample, or when to prefer list_authors/update paths, so usage is only implied.

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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