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Antevo Mandates

get_email_messages

List email messages for an EAM firm with AI analysis. Filter by client_id, priority (CRITICAL,HIGH,MEDIUM,LOW), category (INQUIRY,INSTRUCTION,UPDATE).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
firm_idNo
categoryNo
priorityNo
client_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it only adds the vague phrase 'with AI analysis'. It does not disclose ordering, pagination semantics for the page parameter, whether filters are combined with AND, or any auth/rate-limit context.

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?

Two tight sentences that are front-loaded with the core action and follow with filters; every clause carries information. The trailing filter list is slightly list-like rather than prose, but nothing is wasted.

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?

An output schema exists, so return values need not be explained, and the filter parameters are described. What is missing for a five-parameter listing tool with no annotations is pagination behavior and guidance on selecting this tool over get_email_detail.

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 0%, so the description must compensate, and it does document three of five parameters including enum values (CRITICAL/HIGH/MEDIUM/LOW and INQUIRY/INSTRUCTION/UPDATE) that appear nowhere in the schema. However, page and firm_id remain completely undocumented, leaving the parameter picture incomplete.

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?

States a specific verb (List) and resource (email messages) plus scope (for an EAM firm with AI analysis), so an agent immediately knows this is a bulk retrieval, not a single-record fetch. It does not explicitly name get_email_detail as the sibling it contrasts with, so it stops short of a 5.

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?

There is no when-to-use or when-not-to-use guidance and no mention of the sibling get_email_detail, which is the obvious alternative for a single message. The only hint is the word 'List' in the tool name, which is not stated in the description itself.

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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