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Parse System Requirements Specification

parse_sysrs

Parses a System Requirements Specification markdown file into a structured document. Returns a non-raising validation result on parse failure and raises file-access errors for missing paths.

Instructions

Parse a System Requirements Specification markdown file (YAML frontmatter + body) from disk into a structured :class:~biz.dfch.specmgr.sysrs.models.v1.SysrsDocument. An existing file that fails to parse returns a non-raising ValidateResult (valid=False, a single errors[].message capped at 300 chars as the generic validate tool caps it, feat-110) instead of raising AssertionError/pydantic.ValidationError/yaml.YAMLError (ADR f14f125e-eaad-4f4f-a6fd-3c931bed726e, GitHub issue #204 -- case 5 of the ADR 519d1206 non-raising-structured-result workaround chain); a truly-absent or unreadable path still raises the OSError-family file-access error (FileNotFoundError/PermissionError/OSError) from Path.read_text().

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.36.0

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral burden and does so thoroughly: it specifies that a parse failure yields a non-raising ValidateResult (valid=False, single errors[].message capped at 300 chars) rather than AssertionError/ValidationError/YAMLError, while an absent/unreadable path still raises the OSError family. This is exactly the exception-vs-structured-result distinction an agent needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded in the first sentence, but the remainder is over-stuffed with internal references (ADR UUIDs, feature/issue numbers, 'case 5 of the ... workaround chain') that add noise rather than selection value. The signal is good but diluted.

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?

An output schema exists, so return structure needn't be re-explained, and the description fully covers the failure-mode contract for a single-parameter parse tool. Nothing an agent needs to invoke it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the single 'path' property has no description, so the description must compensate. It does: it establishes the path points to a markdown file read from disk via Path.read_text() and explains the behavioral split between an unparseable-but-present file and a missing/unreadable path.

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 precise verb (parse) and resource (System Requirements Specification markdown file with YAML frontmatter + body) and names the concrete return type (SysrsDocument). This distinguishes it cleanly from sibling parsers like parse_tsk, parse_gol, and parse_req, and from the get_sysrs/list_sysrs readers.

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?

Usage is implied by the description — you call it to turn on-disk SysRS markdown into a structured document — but it never explicitly contrasts with siblings such as get_sysrs or the generic validate tool, nor states when not to use it. The mention of validate is about message-length parity, not tool selection.

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