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Outreach Desk

Draft Response

draft_response
Read-onlyIdempotent

Use this to generate a tailored reply draft, inquiry, or polite decline with an optional standardized feedback card.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
decisionNoThe response decision (defaults to the evaluation's recommended_action).
desk_keyYesThe secret desk_key returned when the desk was created. It is the only credential for this desk and cannot be recovered.
evaluation_idYesThe evaluation_id of the pitch to draft a reply for.
include_feedbackNoIf true, appends an objective calibration feedback card to a decline draft.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
as_ofYes
notesYes
sourceYes
subjectYes
decisionYes
evaluation_idYes
feedback_cardYes
sender_domainYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered structurally. The description adds that a feedback card is appended only to decline drafts, which is useful context, but it does not say whether the draft is persisted or merely returned, nor whether the secret desk_key implies an auth requirement.

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?

A single front-loaded sentence that states purpose and the optional variant without filler. It is dense but every clause carries meaning; only minor room remains for a crisper enumeration.

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 an output schema defining the return, full schema coverage, and annotations covering the safety profile, the description only needs to explain what is generated and the optional feedback behavior, which it does. The one gap is that the natural-language variants (reply/inquiry/decline) are not explicitly mapped to the decision enum values, requiring the agent to connect them.

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 four parameters are already documented in the schema, establishing a baseline of 3. The description repeats the optional feedback-card concept and the decision default but adds no syntactic or format detail beyond what the schema provides.

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 (generate) and resource (reply draft) and enumerates the three output flavors: tailored reply, inquiry, and polite decline. It is clear on its own, but does not name or distinguish itself from siblings like submit_feedback or get_feedback_reply, which is what would earn 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 Guidelines3/5

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

"Use this to generate..." gives a usage trigger, so the context is implied rather than absent. However, there is no when-not guidance, no prerequisites, and no routing to the sibling tools that also deal with feedback replies, leaving the agent to infer the boundary.

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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