download_pdf
Get your finished document.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Get your finished document.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is clear. However, the description adds no behavioral context beyond that—no mention of what a 'finished document' means, whether it returns binary data, or any rate limits or authentication requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The single sentence is concise but under-specified. It does not earn its place because it communicates almost no useful information beyond the tool's name. This is more under-specification than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple schema but no output schema, the description should at least indicate the tool's role in the job lifecycle (e.g., downloading a completed PDF after fill_template). It also fails to clarify the relationship to sibling tools like get_status or preview_template, making the context incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has one required parameter, job_id, with no description. Schema description coverage is 0%, and the description does not mention job_id at all, leaving the parameter completely unexplained. The description must compensate but fails to do so.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Get your finished document' is vague and does not clearly state the tool's function beyond what the name implies. It uses a generic verb 'Get' without specifying the resource type (PDF) or the context (job completion), and it does not differentiate from sibling tools like preview_template or get_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It does not mention prerequisites such as having a completed job_id or checking job status with get_status before downloading, nor does it exclude any use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are clearly separated by resource (document vs deck) and lifecycle stage (create, preview, status, download). generate_deck and get_research_deck both produce decks and could be confused, and preview_template overlaps with the preview step inside fill_template, but descriptions mostly clarify intent.
All tool names follow a consistent snake_case verb_noun pattern (create_, list_, get_, save_, download_). The verbs are simple and each noun clearly identifies the target resource, making the set predictable.
11 tools is well-scoped for a document and deck generation server. Each tool covers a distinct step in the workflow without excessive fragmentation.
The document lifecycle (template -> fill -> preview -> status -> download) and deck workflow (templates -> generate/research -> save) are well covered. Minor gaps include no template update/delete and no way to list or retrieve saved decks, but agents can complete core tasks.