detect_feature_changes

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It states the tool reads input datasets and writes a new output without mutating the originals, which is critical. However, it does not explain the role of the search_distance parameter, overwrite behavior, error handling, or details about the output schema, leaving gaps in transparency.

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 extremely concise, using two clear sentences to convey the purpose, use cases, and non-destructive behavior. Every sentence serves a purpose, and the key action is front-loaded. There is zero fluff.

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?

Given the tool's complexity (two input datasets, search tolerance, output creation) and the presence of an output schema, the description omits important context such as the structure of the change dataset, expected output attributes, and prerequisite conditions (e.g., matching geometries). It provides just enough to understand the basic operation but not full completeness.

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 already provides descriptions for all five parameters (update_features, base_features, out_features, search_distance, overwrite). The tool description only mentions the three main datasets generically and does not elaborate on search_distance or overwrite beyond what the schema states. Since schema coverage is high, the description adds minimal extra value, meriting a baseline score of 3.

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 detects spatial or attribute changes between two feature datasets, using the specific ArcPy function DetectFeatureChanges. It provides concrete use cases (QA/QC, version comparison, update review) and distinguishes itself from sibling tools that handle different spatial operations.

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 recommends the tool for QA/QC, version comparison, update review, and identifying changed features within a search tolerance, giving clear context for when to use it. However, it does not mention when not to use it or point to alternative tools, which would make the guidance more complete.

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