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Benchmark Email MCP by usefulapi

List emails (campaigns)

benchmark_list_emails
Read-only

List email campaigns with id, name, subject, type, status, dates and target lists. GET /Emails/.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, from 1 (default 1). Pass the previous reply's next_page.
searchNoOnly emails whose name matches this text.
statusNoStatus filter as the vendor spells it (e.g. Draft, Scheduled, Sent).
order_byNoSort column, e.g. date, name.
page_sizeNoResults per page, 1-100 (default 25).
sort_orderNoSort order.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the returned field set and the underlying endpoint, but says nothing about pagination behavior or rate limits beyond what the schema's page/next_page wording implies.

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?

Two tight sentences, front-loading what is listed and the fields returned, with no filler. Every clause earns its place.

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?

With no output schema, enumerating the returned fields is genuinely useful and largely sufficient for a filtered list tool whose parameters are fully documented. Only marginal gaps remain around result ordering defaults and pagination limits.

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 all six parameters (page, search, status, order_by, page_size, sort_order) are fully documented in the schema. The description adds no parameter-level semantics beyond that, so the baseline of 3 applies.

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+resource ('List email campaigns') and enumerates the returned fields (id, name, subject, type, status, dates, target lists), which distinguishes it from retrieval siblings like get_email. It does not explicitly contrast with list_email_reports, but the resource is unambiguous.

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?

No guidance on when to use this tool versus alternatives such as get_email for a single campaign or list_email_reports for reporting data. The GET endpoint is noted but that is an implementation detail, 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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