createNotebookEntry

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

With no annotations provided, the description carries full burden. It states the tool 'Adds' (implies mutation) and 'Returns: Created entry information', but lacks critical behavioral details: permission requirements, whether entries are editable/deletable, rate limits, error conditions, or what 'Created entry information' includes. For a mutation tool with zero annotation coverage, this is insufficient.

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 well-structured with four concise bullet-like statements. Each sentence adds value: purpose, usage, content format, return info. No wasted words, though it could be more front-loaded by leading with the core purpose more prominently.

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 3 parameters with full schema coverage but no annotations and no output schema, the description is moderately complete. It covers purpose, usage examples, content format, and return type, but lacks behavioral transparency for a mutation tool and doesn't fully compensate for missing output schema (what 'Created entry information' entails). Adequate but with clear gaps.

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 parameters are fully documented in the schema. The description adds marginal value: 'Content: Supports both HTML and plain text formatting' clarifies 'text_content' parameter usage beyond the schema's 'html or plain text content'. However, it doesn't explain 'name' or 'notebook_id' further. Baseline 3 is appropriate when schema does most work.

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 purpose: 'Adds a new entry to an existing notebook' with specific verb ('Adds') and resource ('notebook entry'). It distinguishes from siblings like 'createNewNotebook' (creates notebook vs. entry) and 'add_note_to_subsample' (different resource), though not explicitly. However, it doesn't fully differentiate from 'update_document' or 'renameDocumentOrNotebookEntry' which might also modify notebook entries.

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 implied usage context: 'Usage: Add experimental procedures, results, or observations to a notebook' gives examples of when to use it. However, it lacks explicit guidance on when to choose this tool over alternatives like 'add_note_to_subsample' or 'create_document_from_form', and doesn't mention prerequisites (e.g., notebook must exist).

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