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PCfVW

mcp-arangodb-async

by PCfVW

arango_validate_document

Validate a document against a stored or inline JSON Schema in an ArangoDB collection, ensuring data integrity before insertion or update.

Instructions

Validate a document against a stored or inline JSON Schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collectionYes
documentYes
schema_nameNoName of stored schema to use
schemaNoInline JSON Schema to validate against
databaseNoDatabase override
Behavior2/5

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

With no annotations, the description carries full burden. It only says 'Validate a document' but does not disclose what happens on failure (e.g., error vs boolean), whether it is read-only, or any side effects. This is a significant gap for a validation tool.

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 description is a single sentence, very concise. However, it is borderline under-specified; still, it is efficient with no wasted words.

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?

Despite no output schema, the description fails to explain the return value (e.g., validation errors or success indicator). It also omits behavior details like mutual exclusivity of schema_name and schema. For a 5-parameter tool, this inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 60% (3 of 5 parameters have descriptions). The description adds no extra meaning beyond what the input schema already provides, such as the relationship between schema_name and schema or constraints on these parameters.

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 clearly states the tool validates a document against a stored or inline JSON Schema. It uses a specific verb and resource, but does not explicitly distinguish from sibling tools like arango_insert_with_validation, though the purpose is fairly distinct.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as arango_insert_with_validation or when to use stored vs inline schema. No prerequisites or exclusions provided.

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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