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vad-007

MCP + CrewAI Agentic Integration

by vad-007

add_note

Append notes to a local file for CrewAI agents to manage information during autonomous workflows.

Instructions

Append a new note to the note file.

Args: message (str): The note content to be added.

Returns: str: Confirmation message indicating the note was saved.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'Append' (implying mutation) and a confirmation return, but lacks details on permissions, file location, error handling, or whether notes are editable/deletable. This is insufficient for a mutation tool without 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 highly concise and well-structured: a clear purpose statement followed by separate Args and Returns sections. Every sentence adds value without redundancy, making it easy for an agent to parse quickly.

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?

Given the tool's low complexity (one parameter) and the presence of an output schema (which handles return values), the description is adequate but not complete. It lacks behavioral context (e.g., file system interactions) and usage guidelines, which are important for a mutation tool with no annotations.

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?

The description adds meaningful context for the single parameter 'message' by explaining it as 'The note content to be added,' which clarifies its purpose beyond the schema's basic type definition. Since schema description coverage is 0%, this compensates well, though it doesn't detail format constraints like length or encoding.

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 action ('Append a new note') and the target resource ('to the note file'), which is specific and unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'read_notes' beyond the verb difference, so it doesn't fully achieve sibling distinction.

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?

The description provides no guidance on when to use this tool versus alternatives like 'read_notes' or other note-related operations. It states what the tool does but offers no context about prerequisites, appropriate scenarios, or exclusions, leaving the agent to infer usage.

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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