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read_cortex_resource

Read a Cortex resource by URI to obtain its content in Markdown or JSON format.

Instructions

Reads an MCP resource by URI (e.g. cortex://architecture, docs://document/42). Wrapper tool over the resources/read channel. Returns Markdown or JSON depending on the resource. Use after list_cortex_resources to discover available URIs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uriYesResource URI (e.g. 'cortex://architecture').
Behavior3/5

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

No annotations provided, so description carries full burden. It mentions it's a wrapper over resources/read and returns Markdown or JSON, but does not state it is read-only, safe, or describe error handling for invalid URIs. Adequate but could be more explicit.

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?

Three sentences, each adding value: action with examples, implementation detail, return format, and usage hint. No wasted words, front-loaded with core purpose.

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 read tool with one parameter, the description covers what it does, how to use it, and return formats. Does not mention error scenarios or supported URI schemes beyond examples, but is largely complete.

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 single 'uri' parameter already described in the schema. The description adds examples but no additional semantic meaning beyond the schema.

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 it reads an MCP resource by URI, provides examples (cortex://architecture, docs://document/42), and distinguishes from the sibling list_cortex_resources which lists URIs.

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?

Explicitly advises 'Use after list_cortex_resources to discover available URIs', setting clear usage context. Does not explicitly mention when not to use or alternatives, but the sibling list is referenced.

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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