gworkspace-mcp

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

No annotations are provided, so the description carries full burden. It mentions creation and conversion but lacks critical behavioral details: whether this operation is idempotent, what happens if the range overlaps existing tables, permission requirements, error conditions, or rate limits. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves.

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 appropriately sized with two sentences. The first sentence front-loads the core purpose, and the second adds useful detail about features. There's no wasted text, though it could be slightly more structured (e.g., bullet points for features).

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 4 parameters with 0% schema coverage, no annotations, but an output schema exists, the description is moderately complete. It covers the 'what' but lacks details on 'how' (parameters, behavior) and 'when' (guidelines). The output schema reduces need to explain returns, but the mutation nature and parameter gaps make this incomplete for safe use.

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 description must compensate. It mentions 'data range' (hinting at range_a1) but doesn't explain any parameters: spreadsheet (ID or URL?), sheet_name (case-sensitive?), range_a1 (format examples?), name (optional table name purpose). The description adds minimal value beyond the bare schema, failing to address the coverage gap.

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 specific action ('Create a Google Sheets Table'), specifies the exact feature ('structured table feature, Ctrl+Alt+T'), and distinguishes it from generic spreadsheet operations by mentioning conversion of data ranges with specific formatting features (headers, banding, filtering). This is precise and distinguishes it from sibling tools like sheets_write or sheets_append.

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 guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., existing spreadsheet/sheet), compare to similar tools (e.g., sheets_write for unstructured data), or specify scenarios where table creation is appropriate versus other formatting options. Usage is implied but not explicitly stated.

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