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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description then adds genuinely new context: the return payload (state, accepted, direction, confidence, key_levels with VAH/VAL/VPOC, scenario_framing, invalidation level) and the delta option. It does not discuss cost/reproducibility tradeoffs of the candle-fetch path, which is a minor 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 definition is front-loaded with the concept and the accept-vs-fakeout framing, then the example, then the return contract. Every clause carries information; the return-field list is dense but functional. Slight compression could improve it, but there is no wasted filler.

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?

For a read-only analytical tool with a fully documented input schema and no output schema, the description covers purpose, invocation context, and return shape, which is what an agent needs to call it. The absence of a stated alternative for overlapping 'breakout' questions is the only notable gap.

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 100%, so the schema already documents all eight parameters, including enums and defaults. The description only echoes the optional buy/sell delta concept, adding little syntax or format meaning beyond the schema. Baseline 3 is appropriate.

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 names a specific analytical concept (Market Profile breakout acceptance) and defines it precisely: did price hold beyond the value area/range or reject back inside (fakeout). This is far more specific than a generic verb+resource and clearly separates it from unrelated siblings like run_open_analysis. It stops short of naming a sibling it could be confused with, so 4 rather than 5.

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 quoted example question ("did the break above VAH get accepted?") implies the triggering scenario, which is useful. However there is no explicit when-to-use vs when-not, no prerequisites, and no pointer to an alternative workflow for related questions (e.g., session structure). Usage is implied, not stated.

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