Skip to main content
Glama

Get a signature request

get_signature_request
Read-only

Fetch one signature request by id, with the detail list_signature_requests leaves out: the placed_fields layout, signed_at plus signed_ip and signed_user_agent, last_reminded_at, cc_emails, and envelope_id + recipient_order when it is part of an envelope. Use list_signature_requests to find an id and this to inspect it; use get_signature_certificate when what you actually want is the legal audit-trail PDF rather than the row. status is one of pending, waiting, signed, declined, delegated, voided or expired — waiting means a sequential envelope has not reached this signer yet, so nothing is wrong and no reminder is due. Read-only and spends no quota. Requires a Kamy API key with the signatures:read scope; without a key, returns dashboard setup instructions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
signatureRequestIdYesID returned by create_signature_request, bulk_signature_requests, or a list call.

TDQS

A4.7/5.0
Behavior5/5

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

While annotations already mark readOnlyHint=true, the description adds substantial behavioral context: it is read-only and spends no quota, requires a specific API key scope, and explains error behavior (without a key, returns dashboard setup instructions). It also clarifies the nuanced 'waiting' status semantics for sequential envelopes. No contradiction 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?

The description is concise yet information-dense: each sentence earns its place. It is front-loaded with the core action, then details additional fields, usage guidance, status enum explanation, and auth requirements, all in a compact, readable structure.

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?

For a simple get-by-id tool, the description is complete: it covers the return fields, relationship to sibling tools, status values, auth requirements, and failure mode. No output schema exists, but the description sufficiently communicates the returned data elements, making the tool fully comprehensible.

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 coverage is 100% and the schema description already explains the parameter's origin (returned by create_signature_request, bulk_signature_requests, or a list call). The description only says 'by id' without adding new meaning, so this dimension is adequately served by the schema. 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 opens with a specific verb and resource ('Fetch one signature request by id'), clearly stating what the tool does. It distinguishes itself from siblings by enumerating the additional fields it returns (placed_fields, signed_at, etc.) and naming alternatives like list_signature_requests and get_signature_certificate, making the tool's unique role obvious.

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?

Provides explicit when-to-use guidance: 'Use list_signature_requests to find an id and this to inspect it' and 'use get_signature_certificate when what you actually want is the legal audit-trail PDF rather than the row.' Also explains the 'waiting' status meaning, preventing misinterpretation. This is a model example of usage guidance.

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.