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modify_conversion_notes

Read or update conversion notes for Signal Found MCP by managing Product Name, Payment Terms/Plans, and General Notes fields.

Instructions

Read or update conversion notes with explicit required key names.

How to use:

  • Call without conversion_notes to inspect current notes.

  • For updates, provide all three canonical keys for consistency.

Expected keys (string values):

  • Product Name

  • Payment Terms/Plans

  • General Notes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_slugYes
client_idNo
conversion_notesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 burden. It discloses that the tool can both read and update, and specifies that updates require all three canonical keys for consistency. However, it doesn't mention permissions, side effects, error handling, or rate limits, which are important for a mutation tool. The description adds some behavioral context but leaves significant gaps.

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 well-structured with clear sections: purpose statement, usage instructions, and key specifications. Every sentence adds value, with no wasted words. It's front-loaded with the core purpose and efficiently communicates essential information.

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

Completeness4/5

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

Given that there's an output schema (which handles return values) and no annotations, the description does a good job explaining the dual read/update functionality and parameter expectations. However, as a mutation tool with 3 parameters and 0% schema coverage, it should ideally clarify all parameter semantics and more behavioral traits (like idempotency or error cases) to be fully complete.

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 description coverage is 0%, so the description must compensate. It explains the semantics of the 'conversion_notes' parameter by listing the three expected keys and their string value requirements. However, it doesn't clarify 'product_slug' or 'client_id' parameters, which are also in the schema. The description adds meaningful context for one parameter but not all three.

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's purpose: 'Read or update conversion notes with explicit required key names.' It specifies both read and update operations and mentions the resource (conversion notes). However, it doesn't explicitly differentiate from sibling tools like 'update_conversation_notes' or 'get_conversation_notes', which prevents a perfect score.

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 'How to use' section provides explicit guidance on when to call without parameters (to inspect) and when to provide all three keys (for updates). This gives clear operational context. However, it doesn't mention when to use this tool versus alternatives like 'update_conversation_notes' or 'get_conversation_notes', which are sibling tools.

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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