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viraj43

INDUSS Research Intelligence MCP Server

by viraj43

generate_pdf

Convert structured research reports into institutional-layout PDFs with cover page, TOC, headers, footers, page numbers, tables, and citations; returns PDF as base64 or download URL.

Instructions

Renders a structured report (see generate_report's schema) into an institutional-layout PDF (cover page, TOC, headers, footers, page numbers, tables, per-section confidence, citations) via headless-browser HTML-to-PDF conversion. Returns the PDF embedded directly in the response (as a base64 resource) so remote clients can retrieve it without filesystem access, plus a downloadUrl when running over httpStream.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoCover-page badge pills, e.g. ['Unlisted', 'Credit Assessment']
titleYes
sectionsYes
subtitleNo
brandNameNoReport letterhead name; defaults to the server's own branding
preparedByNoShown on the cover page, e.g. 'INDUSS Research Intelligence Agent'
companyNameNo
generatedAtNo
brandTaglineNoReport letterhead tagline
classificationNoCover-page eyebrow label, e.g. 'CONFIDENTIAL RESEARCH REPORT'

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

It discloses important runtime behavior beyond the generic annotations: the PDF is embedded directly as a base64 resource, a downloadUrl appears only over httpStream, and no filesystem access is required. This gives an agent a clear model of how output is delivered, though it does not mention error cases or potential server-side 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?

Two tightly packed sentences with no filler. The first sentence front-loads the core purpose and output format; the second explains delivery behavior. Every clause earns its place.

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 10-parameter tool with no output schema, the description covers the input source, the output format, transport behavior, and the main layout characteristics. Minor gaps remain around defaults and error behavior, but an agent has enough information to select and invoke the tool correctly.

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?

With schema description coverage at 50%, the description adds meaning by referencing generate_report's schema and explaining that the input is a structured report with rendering-specific layout features. It does not individually explain every optional parameter, but the external schema reference plus self-explanatory field names covers most practical invocation needs.

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 action ('Renders a structured report'), a concrete output ('institutional-layout PDF'), and details the layout features. It also points to generate_report's schema, tying the tool's input contract to a sibling and clearly distinguishing this PDF-rendering tool from markdown or structured-report siblings.

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 clearly indicates this is for rendering a generate_report-style structure into a PDF and returning it inline for remote clients. It does not explicitly say 'use generate_markdown instead when Markdown is needed' or list excluded alternatives, so it stops short of full when-to-use/when-not-to-use guidance.

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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