context_checkpoint

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

With no annotations, the description carries the full burden for behavioral disclosure. It reveals concurrency semantics (stale revision fails with a conflict rather than overwriting another session), idempotency requirements (reuse the same idempotency_key), and durable persistence intent. It does not mention permissions or reversiblity, but the key failure and concurrency behaviors are surfaced well.

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 dense but well-oranized: purpose first, then usage timing, then critical parameter semantics. Every sentence carries useful information, and there is no filler. The structure front-loads the most important decision information.

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?

Despite the complexity of 8 parameters and no annotations, the description covers the non-obvious aspects: when to call, retry behavior, revision conflict rules, and the shape of both JSON payloads. An output schema exists so return-value description is not needed; the main gap is a lack of explicit sibling differentiation and partially undocumented ref params, but the essential call contract is well covered.

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 0%, so the description must compensate for the 8 parameters. It meaningfully explaines idempotency_key, base_revision semantics with conflict behavior, and the JSON schemas for events_json and state_json inclucing allowed fields. It leaves space_ref, session_ref, company_ref, and project_ref implicit, though their names and the task/state context make them reasonably inferrable.

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 opens with a specific verb and resource: "Checkpoint host deltas and structured task state durably." This clearly identifies the tool's action and distinguishes it from read-oriented siblings like context_open, context_pack, context_status, and context_search by emphasizing durable persistence of deltas/state at stable boundaries.

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 explicitly instructs when to use the tool: "Use at stable boundaries, before compaction, and when stopping." It also gives operational guidance for retries and base_revision, but does not state explicit exclusions or name direct alternatives with a "use X instead" pattern.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.