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get_task_context

Read a task's persistent context to recover decisions, state, and notes saved across sessions. Resume work without restarting by retrieving what was decided and done.

Instructions

Read a task's persistent context blob — the shared state, decisions, and notes saved across sessions. Call this when resuming a task to recover what was decided and done before, so work continues instead of restarting. Pair with update_task_context to write state back before a session ends.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesThe task ID whose context to read
include_provenanceNoInclude per-key author/source/version provenance for current live context entries.
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It states the operation is a read and mentions persistence, but does not disclose error behavior, authorization needs, or whether the operation is idempotent. More detail would improve transparency.

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 deliver purpose, usage context, and pairing with a sibling tool. No extraneous words, front-loaded with the action, making it efficient and easy to parse.

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 two params and no output schema, the description covers core purpose, usage, and lifecycle pairing. It lacks details on response format, but the tool's simplicity mitigates this gap.

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 already describes both parameters adequately. The description adds no additional meaning beyond the schema, so baseline of 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 clearly states the tool reads a 'persistent context blob' and explains its role as shared state, decisions, and notes across sessions. It differentiates from sibling tools like get_task by focusing on context rather than task details.

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?

The description explicitly says 'call this when resuming a task' and pairs with update_task_context for saving state. This provides clear when-to-use and when-not-to-use guidance, distinguishing it from alternatives.

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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