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Email the customer their resume link.

send_resume_link

Email the customer their resume link. Only on explicit request. Scope: jobs:write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
emailYes
job_idYesThe job id (ULID)
consentYesMust be true

Schema Changelog

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

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The description discloses a side-effecting behavior (sending email) and adds policy context ('Only on explicit request') plus a permission scope ('jobs:write'). This goes beyond the annotations, which only say readOnlyHint=false and destructiveHint=false, so the agent understands both the action and the consent requirement.

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 short sentences with no filler. The core action is front-loaded, the critical usage constraint follows immediately, and the permission scope is stated compactly.

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?

For a simple side-effecting action with four parameters and no output schema, the description plus schema gives enough to invoke it correctly: required fields are clear, consent is constrained, and the action is described. It could be more complete by explaining the optional 'name' parameter or return behavior, but those are minor gaps.

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 50%, and the description partially compensates by implying the 'email' parameter is the customer's email and that 'consent' corresponds to the explicit-request requirement. However, the optional 'name' parameter remains unexplained, and the description adds no direct parameter-level detail beyond what the schema already states.

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 names a specific action ('Email'), a concrete resource ('their resume link'), and the recipient ('the customer'), so the tool's purpose is immediately clear. It is not a tautology and is distinct from the listed siblings, none of which involve sending resume links.

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 explicit constraint 'Only on explicit request' gives a clear when-not-to-use condition, which is important for an email-sending side effect. It does not name alternatives or provide richer decision criteria, but no sibling tool appears to be an alternative, so the guidance is adequate.

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

A3.5/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: job lifecycle, upload steps, quote variants, key management, and webhook replay are clearly separated. Even the three pricing tools are differentiated by context (pre-job ballpark, direct quote, date-window pricing).

Naming Consistency4/5

Almost all tools follow a verb_noun snake_case pattern (create_job, list_jobs, set_contact, rotate_key). Minor deviations like ballpark_estimate (no verb) and get_cube_sheet_csv (format suffix) keep it from being perfectly consistent.

Tool Count2/5

32 tools is a large surface for a survey tool, crossing the 25+ threshold. Many key-management and webhook-delivery tools feel like a separate API admin surface rather than core survey workflow.

Completeness4/5

The core survey flow is well covered: create job, capture contact/access/date, upload video, edit inventory, approve, book, and report outcome. Minor gaps like no cancel/delete job or webhook subscription management are workarounds.

Resources