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get_draft_content

Read-only

Retrieve the full text content of a previously pushed draft by its session ID.

Use this when you have a QuickSign session/document ID and need to read the current draft text — for example, to revise a contract, check what was previously sent, or continue working on an existing draft. Returns the full markdown/text content along with metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe AI Session ID (returned from push_draft_text or shared by the user)

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds useful behavioral context by noting it returns 'full markdown/text content along with metadata', but it does not disclose error cases or rate limits. This is still a valuable addition beyond the 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 and front-loaded: the first sentence states the primary action, and the second adds usage context and return value. No wasted words.

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 simple 1-parameter read-only tool with annotations and no output schema, the description covers when to use, what it does, and generally what it returns. The mention of 'metadata' is somewhat vague, but it is adequate for this tool's complexity.

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% with a descriptive parameter: 'The AI Session ID (returned from push_draft_text or shared by the user)'. The description merely refers to 'session ID' without adding new semantic information, so the baseline of 3 applies.

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 verb 'Retrieve' and the resource 'full text content of a previously pushed draft' by session ID, which distinguishes it from siblings like get_draft_status (status) and push_draft_text (push).

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 provides explicit when-to-use guidance: 'Use this when you have a QuickSign session/document ID and need to read the current draft text' with relevant examples. However, it does not mention when not to use or explicitly point to sibling alternatives, so it misses the top score.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool serves a clear, distinct purpose: push_draft_text creates a draft, get_draft_content retrieves its text, get_draft_status checks its lifecycle, and get_handoff_link provides a review URL. There is no overlap in their functionality or intended use cases.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: push_draft_text, get_draft_content, get_draft_status, get_handoff_link. The get_ prefix uniformly marks retrieval operations, and the naming is predictable and descriptive.

Tool Count5/5

With 4 tools, the set is appropriately scoped for a focused e-signature draft workflow. Each tool covers a necessary step (create, read, status check, handoff), and no redundant or extraneous tools exist.

Completeness4/5

The core workflow of pushing a draft, retrieving it, checking status, and obtaining a review link is well covered. However, there are minor gaps: no tool for updating or canceling a draft, though the status model includes 'cancelled' as a state. These are workable gaps for typical usage.

Resources