Summarize SQLite Database for AI Agent

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description usefully adds the output medium and shape (markdown, token-dense, agent-context-optimized), but says nothing about cost or limits on large schemas, truncation behavior, or whether db_path defaults when omitted.

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?

One sentence, front-loaded with the action and the scope, and the parenthetical inventory of summary contents carries real information rather than filler. Nothing to trim.

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?

With no output schema, the description does the right thing by enumerating what the returned markdown contains, so an agent knows what it gets back. Only minor gaps remain (no handling guidance for missing/huge databases), which is light for a single-parameter read-only tool.

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% and the single db_path parameter is documented in the schema, so baseline 3 applies. The description adds no extra meaning about the path parameter, notably no guidance on the optionality (0 required params) or what happens if db_path is omitted.

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?

States a specific verb+resource with scope: 'generate a token-dense markdown summary of the entire database' and enumerates exactly what the summary contains (tables, row counts, columns, PKs, FKs, indexes). The word 'entire' distinguishes it from siblings sqlite_list_tables and sqlite_describe_table, which operate on one table at a time.

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 phrase 'optimized for AI agent context windows' implies the tool is the orientation/overview step before drilling into individual tables, but no sibling is named and no when-not-to-use condition (e.g., very large databases, or when you already know the schema) is given. Usage must be inferred.

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