Data Analytics MCP Toolkit

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

With no annotations, the description carries full burden but only states what the chart does, not behavioral traits like output format (e.g., image file, display), permissions, side effects, or error handling. It lacks details on what 'creates' entails operationally, leaving gaps for an agent to understand execution.

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, efficient sentence that front-loads the core functionality with zero wasted words. It directly explains the chart mapping and conditional behavior (y_column omission), making it highly concise and well-structured.

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 5 parameters with 0% schema coverage, no annotations, and no output schema, the description is incomplete. It explains basic parameter roles but misses details on data_id usage, session_id purpose, title handling, and what the tool returns, leaving significant gaps for proper agent invocation.

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%, but the description adds meaning for x_column and y_column by explaining their roles (categories and values/count). It doesn't cover data_id, title, or session_id, leaving 3 of 5 parameters without semantic context, partially compensating but not fully.

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 creates a bar chart with specific mapping rules (x_column as categories, y_column as values, count if y omitted). It distinguishes from siblings like plot_line or plot_scatter by specifying bar chart type, though it doesn't explicitly contrast with other chart types beyond the basic function.

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?

No guidance on when to use this tool versus alternatives like plot_histogram or plot_box is provided. The description implies usage for categorical vs. value data but doesn't specify scenarios, prerequisites, or exclusions compared to sibling visualization tools.

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