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search_emails

Search Zoho Mail inbox using keywords, sender addresses, or subject terms to find specific messages and retrieve their IDs for further actions.

Instructions

Search inbox by keyword, sender email, or subject fragment — returns messageId and folderId for use with read_email

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term — keyword, sender email, or subject fragment
countNoMax results (default 20)
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 returns messageId and folderId for use with read_email, adding useful context about output format and integration. However, it lacks details on behavioral traits like pagination, error handling, or rate limits, which are important for a search tool with no 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 appropriately sized and front-loaded, consisting of a single, efficient sentence that conveys the core purpose, parameters, and output. Every part earns its place with no wasted words, making it highly concise and well-structured.

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 moderate complexity (search with two parameters), no annotations, and no output schema, the description is somewhat complete but has gaps. It explains the purpose and output format but lacks details on behavioral aspects like limits or errors. It's adequate but not fully comprehensive for a tool without structured support.

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 description coverage is 100%, so the schema already documents both parameters fully. The description adds no additional meaning beyond what the schema provides (e.g., it repeats the query parameter's purpose without new details). This meets the baseline of 3 for high schema coverage.

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

Purpose5/5

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

The description clearly states the tool's purpose with specific verbs ('search inbox') and resources ('emails'), and distinguishes it from siblings by specifying it searches by keyword, sender email, or subject fragment. It explicitly mentions the output format (messageId and folderId) and its intended use with read_email, making it highly specific and differentiated.

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 description provides clear context for when to use this tool (searching by specific criteria) and implies an alternative (list_inbox for listing without search). However, it does not explicitly state when not to use it or compare it to all siblings (e.g., send_email), keeping it at a 4 rather than a 5.

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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