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Mailcannon

check_email_spam_score

Analyze email subject/body for spam trigger words

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
subjectYes

TDQS

A3.6/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral transparency. 'Analyze' implies a read-only operation, but it does not disclose return format, side effects, permissions, or whether data is sent externally. This is a minimal disclosure similar to the update_drive example.

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 a single, front-loaded sentence with no redundant words. Every word contributes to the purpose, making it appropriately 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?

For a simple tool with two string parameters and no output schema, the description states the core function but omits return value expectations and any prerequisites. It is adequate as a minimal viable description, but the missing output information leaves a clear gap given the absence of an output schema.

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

Parameters2/5

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

Schema description coverage is 0%, and the description only repeats the parameter names ('subject/body') without adding details about formats, constraints, or how each parameter is used. It adds some value by indicating both are analyzed together, but it fails to compensate for the missing schema descriptions.

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 uses a specific verb ('Analyze') and clearly identifies the resource ('email subject/body') and purpose ('spam trigger words'). It distinguishes from sibling tools like 'check_domain_deliverability' (domain-focused) and 'check_step_spam_score' (likely step-based), making its scope unambiguous.

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 clearly implies usage: when you have raw email subject and body and want to check for spam triggers. However, it does not explicitly name alternatives or state when not to use this tool versus 'check_step_spam_score'. This is clear context without exclusions, so a score of 4 fits.

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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TDQS

B3.2/5.0
Disambiguation4/5

Most tools target distinct resources and actions, but a few pairs (check_email_spam_score vs check_step_spam_score, get_deliverability vs check_domain_deliverability) have overlapping concerns. However, descriptions clarify the differences, so an agent can distinguish them with careful reading.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with lowercase snake_case. The use of add vs create is a minor style variation but does not create confusion.

Tool Count2/5

At 34 tools, the server exceeds the typical 3-15 tool range and even the 16-25 heavy range. While the broad functionality justifies many tools, the count is likely to make tool selection more difficult for an agent.

Completeness4/5

The tool set covers the full campaign lifecycle including creation, scheduling, processing, and deliverability tracking, plus contact and provider management. Notable gaps include no update_contact or get_campaign by ID, but these are workarounds via list operations.