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job-card

Read one job card with its running totals

job_card_get

Read one job card in full by JC number or client: every labor entry and every material used, the hours per worker, and the running totals -- labor, materials and grand total -- as integer cents with formatted amounts. Reads only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cardYesThe job card id, e.g. JC-2026-0003, or the client name when only one card has it

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

There are no annotations, so the description carries the full burden; it explicitly states 'Reads only,' disclosing that this is a non-mutating operation. It also reveals return characteristics — each entry, hours per worker, and running totals 'as integer cents with formatted amounts' — which is useful behavioral context beyond the schema.

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 a single, front-loaded sentence that immediately names the action and resource, then enumerates the returned content without wasted words. The final 'Reads only' is compact and earns its place as a safety-relevant clarification.

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 no output schema and no annotations, the description covers the essentials: what is read, how the card is identified, and exactly what the return includes. It does not cover error behavior or ambiguous-client handling beyond the schema note, but for a simple read operation the definition is substantially complete.

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%: the only parameter 'card' already explains the JC number or client name format and the single-card disambiguation rule. The description's phrase 'by JC number or client' echoes the schema rather than adding new semantic content, so the baseline 3 is 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 states a specific verb and resource — 'Read one job card in full' — with a clear scope: by JC number or client, returning labor entries, materials, hours per worker, and running totals. It also says 'Reads only,' distinguishing it from mutating siblings like job_card_create, job_card_log_labor, and job_card_update_status, and from job_card_list which reads multiple cards.

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?

The description implies its use case: you need the full detail of a single job card, not a summary or list. However, it never names alternatives or says when not to use it — e.g., job_card_summary for totals or job_card_list for browsing — leaving the choice partly to inference.

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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