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Prepare a full interview plan

prepare_interview_plan
Read-onlyIdempotent

Builds the full interview plan for a project, program or product manager (or a business analyst) from the resume text and, optionally, a job posting and a company name: every resume line a hiring manager is likely to press on, every requirement of the posting matched to the resume, every company question with its source pages, and the questions arranged by interview stage (recruiter screen, hiring manager, panel, company round). Same inputs and question ids as prepare_interview_questions. Fixed rules, no model. Contact details are removed before the check; the resume and the posting are not stored. Requires sign-in with a PM Career Desk account that has an Interview Coach Pass.

Input Schema

NameRequiredDescriptionDefault
roleNoOptional. One of project-manager, program-manager, technical-program-manager, product-manager, scrum-master, pmo, it-manager, business-analyst, delivery-manager; a title as written (for example Senior Program Manager) is also read. Empty when not sure.
companyNoOptional. The employer's name as written in the posting.
industryNoOptional. The employer's industry, one of healthcare-life-sciences, financial-services, software-saas, government-public-sector, consulting-services, retail-supply-chain, manufacturing-industrial, energy-utilities; a plain name such as healthcare or banking is also read. Adds questions written for that industry. Empty when not sure.
job_postingNoThe full text of the job posting, as the person gave it. Optional; with it the result adds the requirements, the gaps and questions about them.
resume_textYesThe resume as plain text, copied in full from what the person pasted or from the text of the file they attached. At least the summary and the experience section.
resume_outlineNoOptional structure of the resume: roles with title, company, dates and bullets; summary; skills; certifications; education. Every line must appear word for word in resume_text; lines that do not are left out and counted in the result. Without it the plain text is read.
job_requirementsNoOptional. The requirement lines of the job posting, each word for word from job_posting; lines that are not are left out and counted in the result. Without them the requirements are read from job_posting.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Adds materially beyond the annotations: 'Fixed rules, no model' discloses deterministic behavior (consistent with openWorldHint=false), 'Contact details are removed before the check; the resume and the posting are not stored' discloses PII scrubbing and retention policy, and the Interview Coach Pass requirement discloses an auth gate. These are exactly the operational facts annotations cannot carry.

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?

Front-loaded with the verb and resource, then the output inventory, then operational constraints. The long opening sentence is dense but each clause maps to a distinct output artifact; nothing is padding, though the four-part enumeration could be tightened slightly.

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?

With no output schema, the description carries the return-value burden itself and does so by listing the four components of the plan. Combined with the auth prerequisite, PII handling, and no-storage guarantee, an agent has enough to decide and call correctly; only error/failure behavior is left unstated, which is minor.

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 the schema already documents every parameter including the verbatim-matching rules for resume_outline and job_requirements and the 'adds questions written for that industry' behavior. The prose restates that resume text plus optional posting/company drive the plan but adds no new format or constraint detail, so the baseline 3 applies.

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?

States a specific verb and resource ('Builds the full interview plan') and then enumerates the concrete artifacts produced: resume lines a hiring manager will press on, posting requirements matched, company questions with source pages, questions ordered by interview stage. It also explicitly separates itself from the sibling by noting 'Same inputs and question ids as prepare_interview_questions', so an agent can distinguish full plan vs. question list without opening either schema.

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?

Gives a clear usage context (a PM/PgM/product manager or business analyst prep, driven by resume text plus optional posting and company) and states a hard prerequisite: sign-in with a PM Career Desk account holding an Interview Coach Pass. The alternative is implied through the prepare_interview_questions reference, but there is no explicit 'use the other tool when you only want the raw question list' exclusion.

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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