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Send

send
Read-onlyIdempotent

Send one transactional email through the Postmark delivery API (api.postmarkapp.com/email) using a Postmark server token. Takes from, to, subject, HTML and text bodies, cc, bcc, reply-to, custom headers, tag, open and link tracking flags, and message stream; returns the Postmark MessageID, submitted-at timestamp, recipient, and error code. Use it to deliver a receipt, password reset, alert, or notification message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ccNo
toYes
bccNo
tagNo
fromYes
headersNo
replytoNo
subjectNo
htmlbodyNo
textbodyNo
trackLinksNo
trackopensNo
messagestreamNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ToNoRecipient email address
MessageNoStatus or error message
ErrorCodeNoError code if submission failed
MessageIDNoUnique message identifier
SubmittedAtNoISO timestamp when email was submitted

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
Behavior1/5

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

Annotations declare readOnlyHint: true, but the description says 'Send one transactional email' – an external side effect that contradicts read-only semantics. This is an annotation contradiction, so per rules the score is 1.

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 three concise sentences: the first states the core action, the second lists inputs and outputs, the third gives use cases. It is front-loaded and every sentence adds value, with no fluff.

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?

The description covers purpose, use cases, parameters, and return values, and an output schema exists. However, it omits how the Postmark server token is provided (e.g., header), does not mention that either htmlbody or textbody is required by the API, and does not discuss rate limits or idempotency. Given the annotation contradiction, the description is not fully complete.

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. It lists all parameters ('from, to, subject, HTML and text bodies, cc, bcc, reply-to, custom headers, tag, open and link tracking flags, and message stream') but does not explain each parameter's format, constraints, or behavior beyond the property names already in the schema. It adds a basic mapping but lacks deeper semantics.

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 a specific action ('Send one transactional email') with a specific resource ('Postmark delivery API'), includes the endpoint, and lists parameter categories and return values. It distinguishes from sibling tools like send_batch by explicitly saying 'one transactional email'.

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 use cases ('deliver a receipt, password reset, alert, or notification message') and the context of using Postmark, but does not explicitly mention when not to use this tool or name alternative tools (e.g., send_batch). This is clear context without exclusions.

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

B3/5.0
Disambiguation2/5

The tool set mixes multiple domains (Postmark email, Pipeworx data queries, Polymarket betting, memory utilities) with several overlapping tools. ask_pipeworx and ask_pipeworx_beta are essentially identical, send/send_batch and bounces/bounce are similar, and multiple polymarket analysis tools (polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker) could be confused. Despite detailed descriptions, the sheer number of query and analysis tools increases the chance of misselection.

Naming Consistency3/5

All tool names use lowercase_with_underscores, so the casing is consistent. However, there is no uniform verb_noun pattern: some start with verbs (ask, send, bounce, resolve, validate), while others are noun phrases (server, bounces, recent_alerts, entity_profile). This mixed semantic structure makes it less predictable, but the names are still readable.

Tool Count2/5

41 tools is far above the typical well-scoped range of 3-15. The server combines multiple unrelated domains—email, data lookup, prediction markets, memory, and subscriptions—resulting in a heavyweight and unfocused surface. Most of the tools would be better split into separate, purpose-specific servers.

Completeness2/5

For a server named Postmark, the email side is incomplete: there is no update server configuration, message stream management, or inbound email handling. The Pipeworx data tools provide good read coverage but lack write/management operations for entities. The inclusion of unrelated tools makes the surface feel arbitrary rather than complete for any single domain.