Skip to main content
Glama

Merge renders into one PDF

merge_pdfs

Concatenate 2–20 existing renders into a single new PDF, in exactly the order the ids are given. Both the inputs and the output are Kamy render ids, so this is the composition step after several render_pdf / convert_document / edit_pdf calls — it cannot merge arbitrary URLs or raw bytes, and every id must belong to this account and point at a completed render or the whole call fails. The source renders are left untouched. Returns a new render { id, url, bytes, durationMs }. Billed as one additional render. Requires a Kamy API key with the render scope; without a key, returns dashboard setup instructions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoLabel for the merged render, e.g. 'Q3 statement bundle'.
renderIdsYes2–20 render UUIDs owned by this account, in the page order you want. Any id that isn't yours, or whose render didn't complete, fails the whole call.

TDQS

A4.7/5.0
Behavior4/5

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

Annotations indicate non-readOnly, non-destructive behavior, which the description affirms ('source renders are left untouched'). The description goes beyond annotations by detailing billing implications ('Billed as one additional render'), authentication requirements ('Kamy API key with `render` scope'), and failure behavior (atomic failure on any bad id). No contradictions with annotations.

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?

Every sentence earns its place: operation, ordering, preconditions, limitations, side effects, billing, auth. The description is front-loaded with the core action, two sentences long, and no filler. Highly efficient.

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?

Given the tool's moderate complexity (2 params, no output schema), the description is fully sufficient. It covers input constraints, failure modes, billing, auth, and relationship to siblings. No gaps remain for an agent to make an incorrect invocation.

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 100%, so the baseline is 3. The description adds value by reinforcing the ordering constraint ('in exactly the order the ids are given') and the atomic failure condition, which the schema's JSON description implies but doesn't state as clearly. The `name` parameter is well-contextualized as a label in the description's example ('Q3 statement bundle'). A 4 is warranted because the description meaningfully enriches the schema's semantics.

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 uses a specific verb ('Concatenate') and resource ('existing renders into a single new PDF'), clearly states the input range (2–20), and distinguishes this tool from siblings like 'split_pdf' and 'edit_pdf'. The context of being a composition step after other render calls is explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description specifies exactly when to use this tool ('composition step after several render_pdf / convert_document / edit_pdf calls'), what it cannot do ('cannot merge arbitrary URLs or raw bytes'), and clear failure conditions ('every id must belong to this account and point at a completed render or the whole call fails'). This contrasts well with sibling tools that might handle raw input or single-document operations.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct action or resource with minimal ambiguity. For example, `render_pdf`, `render_docx`, `render_xlsx`, and `pptx` are clearly different output formats, while `merge_pdfs`, `split_pdf`, and `edit_pdf` target different PDF operations. The signature tools (`create_signature_request`, `get_signature_request`, etc.) are also clearly separated by lifecycle stage. No two tools appear to do the same thing.

Naming Consistency5/5

Tool names follow a highly consistent `verb_noun` pattern throughout, such as `create_signature_request`, `get_signature_request`, `list_signature_requests`, and `remind_signature`. This pattern is applied uniformly across all major domains (render, signature, template, webhook, trace), making the API predictable and easy for an agent to navigate.

Tool Count4/5

With 59 tools, this is a large surface area, but it is justified by the breadth of functionality: document rendering in multiple formats, e-signatures, template management, webhooks, scheduling, and a crypto/audit trail. While large, each tool has a distinct purpose, and the count feels appropriate for the scope of a comprehensive document automation API. A surface this large risks being overwhelming, but the internal organization is logical.

Completeness5/5

The tool surface is remarkably complete, covering the full lifecycle for multiple domains. For e-signatures, there are tools for CRUD (requests, templates), sending (individual, bulk, envelope), monitoring (get, list), reminders, and certificates. For documents, it covers creation, conversion, editing, merging, splitting, and verification. The inclusion of utility tools like `get_started`, `validate_payload`, and the audit trail tools further solidifies this as a well-considered, production-ready API surface.