load_graph_state

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions Zod schema validation, which is useful, but omits critical behaviors: whether the load replaces the current in-memory state, what happens on validation failure, return value semantics, and side effects. For a mutation-like tool, this is a significant gap.

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, focused sentence that conveys the core purpose and a key validation trait. No wasted words, and the critical information is front-loaded. It earns its place perfectly.

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?

The description explains what the tool does and its validation approach, but for a load tool with no output schema, it should clarify the effect on the current graph state (e.g., overwrites in-memory state) and error behavior on invalid JSON. Sibling tools provide context, but the description alone is not fully complete for an agent to anticipate side effects.

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?

The input schema provides full coverage (100%) with a single parameter 'filePath' described as 'Source JSON file path'. The description adds no extra meaning beyond the schema (e.g., file format, required extension, path resolution). Baseline 3 is appropriate since the schema already documents the parameter adequately.

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 tool's function: loading a workflow graph state from a JSON file on disk. The inclusion of 'with full Zod schema validation' distinguishes it from simple file reads, and the contrast with sibling tools like save_graph_state and get_graph_state clarifies its unique role.

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 usage context: restoring a graph state from a persisted JSON file. It implicitly distinguishes from get_graph_state (which likely retrieves current in-memory state) and save_graph_state (which persists state). However, it does not explicitly state when not to use this tool or name alternatives, so it falls short of full guidance.

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