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pack_submit

Submit a tailored CV and cover letter to enforce content rules, render a one-page A4 PDF, run an ATS check, save documents with undo, and mark the job pack ready.

Instructions

Agent mode, step 2 of the pack: submit your CV (cv_schema) and letter. Jobgent blocks invented numbers and banned phrases, renders the one-page A4 PDF, runs the ATS check, saves the documents (with undo) and marks the job pack_ready. If refused, fix exactly what the error names and submit again.

Input Schema

NameRequiredDescriptionDefault
cvYes
job_idYes
letterYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does so well: it discloses validation (blocked invented numbers and banned phrases), PDF rendering, ATS check, persistence, undo support (implying reversibility), a state change to pack_ready, and error-driven retry behavior. Auth requirements, rate limits, and response shape remain undisclosed.

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?

Three dense sentences, front-loaded with mode and step, then payload, then side effects, then the error-recovery rule. No padding; every clause carries operational information.

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 three-parameter mutation tool with a nested CV object, no annotations, and no output schema, the definition covers workflow position, validation gates, side effects, reversibility, and failure handling. Gaps are job_id semantics and what a successful response contains.

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, and it only partly does: it clarifies that 'cv' conforms to a cv_schema and that 'letter' is a cover letter. The required 'job_id' parameter is never mentioned, and the nested CV structure is left entirely to the schema.

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 (submit) plus the two resources (CV, letter) and situates itself as 'step 2 of the pack', which implicitly separates it from pack_create/pack_prompt. It stops short of naming those siblings explicitly, so the differentiation is inferred rather than stated.

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?

'Agent mode, step 2 of the pack' tells the agent this follows a prior step, and the final sentence gives an explicit retry rule on refusal. It does not explicitly name the predecessor tool (pack_create) or any alternative, so sequencing depends on the agent inferring the pack workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.