auto_recall_process_message

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. The Returns section partially fills this gap by listing success, enabled, topics_found, memories_found, memories_reinforced, mode, and message as output fields, and the Raises section mentions ValueError for empty input. However, it does not clarify the 'mode' behavior, whether 'enabled=False' means the tool is turned off, or the exact side effects of reinforcement—leaving the tool's runtime behavior only partially transparent. Additionally, the Description is internally corrupted with unrelated schema text, raising trust concerns about its reliability.

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 Args/Returns/Raises structure is readable and efficient for the core content. However, the Description contains a long, seemingly accidental concatenation of unrelated text ('schema_description_coverage ... <span style...>'), which severely harms readability. Without this corruption, the structure would warrant a 4; as presented, the excessive and jumbled text brings it down to a 3.

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?

There is an output schema, which helps clarify return values, and the Raises clause covers error conditions. Yet the lack of annotations combined with the missing behavioral context (what 'mode' means, when 'enabled' is false, what exactly 'reinforce' does) means the Description does not fully equip an agent to correctly invoke the tool. The corrupt text further degrades confidence, leaving this definition incomplete for a tool with 1 parameter and notable behavioral nuances.

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 schema already documents 'message' minimally as a string. The Description adds 'message: User message to analyze (non-empty string)', which does provide semantic value beyond the schema by specifying the required non-emptiness. However, this is the only parameter, and the Description is cluttered with the corrupted schema-coverage text, which works against the otherwise reasonable parameter documentation.

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 title 'Automatically recall and reinforce memories related to message topics' was very informative, but the actual Description text is corrupted with a concatenation of unrelated words ('schema_description_coverage... title...'). The verb 'recall and reinforce memories' clearly describes what the tool does. However, the Description text quality is compromised by this corruption. The tool name 'auto_recall_process_message' is descriptive, and the core intent is clear, but the Description's clarity is obscured by the extraneous string.

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 provides no explicit guidance on when to use this tool versus any alternatives. The Args/Returns/Raises sections describe the mechanics—analyzing a message to recall and reinforce memories—but offer no context about prerequisite conditions, when this automatic recall is appropriate, or what distinguishes it from other memory-related tools. The ambiguity is compounded by the corrupted Description text.

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