table_cell_text

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

Since no annotations are provided, the description carries the full burden of behavioral disclosure. It only states the method name and that it returns cell text, but does not disclose whether this is a read-only operation, what happens if the cell is empty or not found, whether a session must be active, or any error conditions. The phrase 'tested table' is vague and unexplained. An agent has no basis to predict side effects or requirements.

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 a single concise sentence, which is efficient and front-loaded with the core action. However, it lacks structure that would aid comprehension, such as a brief example or an expandable elaboration. While it doesn't waste words, it also under-delivers on clarity due to its brevity, making it borderline between minimal and under-specified.

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 that the tool has 4 parameters, no annotations, and no output schema, the description is severely incomplete. An agent cannot determine which parameters are needed to identify the table or the cell, what format 'cell' expects (e.g., 'A1'), or what the return value looks like. For a UI test automation tool, this level of detail is insufficient to invoke correctly.

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 has no descriptions (coverage 0%), and the description does not explain any of the four parameters (cell, name, title, session_id). The agent cannot know what values to provide, which parameters are required, or how they map to the 'cell text' retrieval logic. The description adds no semantic value beyond the parameter names themselves.

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 states a clear verb ('Return') and resource ('cell text from a tested table'), naming the underlying method GetCellText(). This is specific enough to distinguish it from table-level tools like table_rows or table_selected_rows, which return rows rather than a single cell's text. However, it doesn't explicitly mention that it operates on the currently focused table or how the table is identified, leaving some ambiguity in scope.

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., a table must be in focus), intended contexts, or how it differs from similar table-read operations. There is no comparison to sibling tools like table_current_row or field_value_text, leaving the agent to infer conditions on its own.

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