read_doc_contents
Retrieve a document's text content by its ID for use in AI chat sessions.
Instructions
Read the contents of a document and return it as a string.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| doc_id | Yes | Id of the document to read |
Retrieve a document's text content by its ID for use in AI chat sessions.
Read the contents of a document and return it as a string.
| Name | Required | Description | Default |
|---|---|---|---|
| doc_id | Yes | Id of the document to read |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the return type but does not mention side effects, permissions, error behavior, or explicitly confirm that reading is non-destructive. 'Read' implies no modification, but the description could be more transparent.
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 description is a single, tightly worded sentence that immediately states the action and the result. Every word contributes meaning, and there is no redundancy or filler.
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?
For a simple one-parameter read operation, the description is largely complete: it explains what the tool does and what it returns. It lacks only minor behavioral details such as error conditions or format specifics, but these are not critical given the tool's low complexity.
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?
Schema description coverage is 100%: the only parameter, 'doc_id', is already described as 'Id of the document to read'. The tool description adds no additional meaning beyond that, so the baseline score of 3 applies.
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 clearly states the specific verb 'read', the resource 'document', and the return type ('string'), making the tool's core purpose obvious. It differentiates from the sibling tool 'edit_document' by the read-versus-edit contrast, though it does not explicitly name the sibling.
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?
The description implies this tool should be used when the agent needs to retrieve document contents, and the sibling tool name suggests editing is the alternative. However, there is no explicit guidance about when to choose this tool over 'edit_document' or any stated exclusions or prerequisites.
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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