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c3-yang-song

infra-advisor-mcp

by c3-yang-song

save_report

Save the finalized infrastructure advisory report and all follow-up answers as Markdown and HTML files for offline access.

Instructions

Save the final report (and any follow-ups) to .md and .html files.

Call this when the user is satisfied with the report — this is the explicit finalize action. Pass all follow-up answers accumulated during the session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
report_contentYesMain report markdown from generate_full_report.
followupsNoFollow-up answer strings from generate_followup_answer, in order.
filenameNoBase filename without extension. Auto-generated from timestamp + slug if omitted.
output_dirNoDirectory to write files into (created if needed). Defaults to "reports/".reports

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
md_pathYes
html_pathYes
filename_stemYes
saved_atYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions saving to .md and .html files and that output_dir is 'created if needed', but does not disclose what happens if files already exist (overwrite? append?), any authentication requirements, or possible side effects.

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 concise: two sentences with the main action front-loaded. Every sentence adds value with no filler.

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?

The tool has an output schema (though not shown), so the description need not explain return values. It covers the core functionality adequately, but could mention what the tool returns (e.g., success confirmation or file paths).

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 all parameters well. The description adds minor context by mentioning 'Pass all follow-up answers', but does not significantly extend beyond the schema descriptions. 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 clearly states the action ('Save') and the resources (final report and follow-ups to .md and .html files). It also implicitly distinguishes itself from sibling tools like generate_full_report and generate_followup_answer, which focus on generation rather than saving.

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 description tells when to call the tool ('when the user is satisfied with the report — this is the explicit finalize action') and what to pass ('Pass all follow-up answers accumulated during the session'). It does not explicitly state when not to use it, but the context is clear enough.

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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