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context_packs

Read-only

List saved CortexPlus context packs, optionally filtered by AI platform.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
platformNoPlatform filter, e.g. chatgpt or claude.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
packsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds only that packs are 'saved' and the filter is optional; it says nothing about pagination behavior or result ordering relative to the limit parameter.

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?

A single front-loaded sentence with no wasted words. The core action and the optional filter are both stated immediately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need no explanation, and annotations cover safety. However, for a list tool with a bounded limit parameter, the description says nothing about default page size or how to retrieve more than 20 items, leaving a gap for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50%: platform is already documented in the schema, and the description merely restates that filter without adding format or semantics. The limit parameter (default 20, max 50) is never mentioned in the description, so the gap in the other half of parameters is not compensated.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('List') and resource ('saved CortexPlus context packs') with a clear optional filter. An agent can tell this is a read/list tool, though the description does not contrast it with siblings like search, recall, or save_context that also touch context data.

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

Usage Guidelines3/5

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

'Optionally filtered by AI platform' implies the main use case (browse packs, narrow by platform), but there is no explicit guidance on when to choose this over search or recall. Usage is implied rather than stated.

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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