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gmail_modify

Modify Gmail messages and labels through Lightbulb's connector by passing a JSON string of arguments for operations such as labeling, archiving, or deleting.

Instructions

Gmail connector operation modify (platform tool gmail.modify).

Routes through /api/tools/invoke under your JWT, tenant, and company scope.

Args: arguments: JSON string of arguments for the connector operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

No annotations provided, so description is the sole source of behavioral disclosure. It only mentions routing and argument format, with no information about side effects, permissions, or typical behavior. The description is entirely infrastructure-focused and fails to disclose what the operation does.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is short (3 sentences) which is concise, but the first two sentences about routing are not front-loaded with essential functionality. The structure could be improved by leading with the operation's purpose rather than infrastructure details. Still, it avoids verbosity.

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

Completeness1/5

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

For a mutation tool with an output schema (present but not shown), the description is severely incomplete. It fails to explain what the modify operation affects, what arguments the JSON string should contain, or what the response looks like. Sibling tools are specific, but this description provides no operational context.

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

Parameters1/5

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

Schema has 0% description coverage for the only parameter 'arguments'. Description says 'JSON string of arguments for the connector operation' which is minimal and adds no meaningful context about supported keys, structure, or examples. The schema itself provides no property descriptions, so the description should compensate but does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description is vague: 'Gmail connector operation `modify`' does not specify what resource is modified (email, label, etc.). The name 'modify' implies mutation but lacks specificity. Sibling tools like gmail_get_email and gmail_list_emails indicate email operations, but no clarification is given.

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

Usage Guidelines1/5

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. No context provided about prerequisites, when not to use, or how it differs from other Gmail tools. The routing information is not usage guidance.

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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