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Check what an upload link received

check_upload
Read-onlyIdempotent

Look for the files an upload link put into this mailbox, and give back a fileRef for each so you can attach them. Call this after create_upload_link - either straight after uploading the file yourself, or once the person says they have. If nothing has arrived yet it says so plainly: that is not an error, it usually means they have not finished, so tell them what you are waiting for rather than calling this repeatedly. The files sit in a draft in their own Drafts folder. DO NOT OFFER TO DELETE IT: it is removed automatically as soon as you attach the files to a message, and swept later if you never do. Asking the person whether to tidy it up hands them a job they do not have.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uploadIdYesThe `uploadId` from create_upload_link.

Schema Changelog

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

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description discloses important non-obvious behavior: an empty result is not an error, files sit in a draft in their own Drafts folder, and the draft is deleted automatically once files are attached or swept later. It also warns the agent not to offer deletion, which is exactly the kind of behavioral context annotations cannot convey.

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 dense but every sentence earns its place: purpose and return value, call timing, empty-result handling, and deletion behavior. Important warnings are front-loaded enough to be noticed, and the final explanatory sentence justifies the DO NOT instruction rather than padding it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with one parameter, no output schema, and no nested objects, the description is complete. It explains what the tool returns (`fileRef` per file), how to respond to an empty result, and the lifecycle of the underlying draft. There is no critical missing context.

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 coverage is 100% and the single `uploadId` parameter is already documented as 'The `uploadId` from create_upload_link.' The description reinforces this by referencing `create_upload_link`, but it does not add new parameter-level meaning beyond the schema. A baseline of 3 is therefore appropriate.

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-resource pairing: 'Look for the files an upload link put into this mailbox' and states the concrete return value, a `fileRef` for each file. It clearly distinguishes this from sibling check tools by anchoring it to upload links and the `create_upload_link` flow.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description is explicit about when to call it: 'Call this after create_upload_link - either straight after uploading the file yourself, or once the person says they have.' It also gives a clear when-not: if nothing has arrived, do not call repeatedly; tell the person what you are waiting for.

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

A4/5.0
Disambiguation4/5

Most tools target clearly distinct actions, but there are several close pairs that require careful reading: check_bounces vs check_receipts, list_emails vs search_emails, and the send/reply/forward vs draft_email/draft_reply/draft_forward families. The descriptions are strong enough that a careful agent can disambiguate, but the boundaries are not always obvious from the tool names alone.

Naming Consistency5/5

Every tool uses a consistent snake_case verb_noun convention, such as check_bounces, list_mailboxes, send_email, and update_draft. Related operations use parallel forms like mark_read/mark_unread and flag_email/unflag_email, making the naming predictable and coherent.

Tool Count2/5

With 28 tools, this exceeds the 25+ threshold where a tool set starts to feel too heavy. Email is a broad domain and many tools are individually justified, but the surface could be consolidated, especially the draft_forward/draft_reply/draft_email and send_email/reply_email/forward_email variants.

Completeness4/5

The core email lifecycle is thoroughly covered: send, read, search, move, delete, drafts, replies, forwards, folders, flags, attachments, upload links, contacts, identities, deliverability, bounces, and receipts. The main gap is that permanent deletion is referenced as a separate operation but no such tool is actually provided, and contact/identity management is effectively read-only.

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