Parse PPTX File

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

The description adds the output format ('text chunks') beyond what annotations provide, which is useful. However, it does not disclose side effects, auth needs, or limitations, and the annotations (readOnlyHint=false) leave ambiguity about whether parsing has side effects, which the description does not clarify.

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, front-loaded sentence with no wasted words. It efficiently conveys the tool's core action and outcome.

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 there is no output schema, the description does communicate the return type (text chunks). However, with 7 parameters and no output schema, it omits details about chunking behavior, PPTX feature support, and limitations, which would be valuable for an agent deciding whether and how to use this 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 coverage is 100%, so all 7 parameters are documented in the input schema. The description adds no additional parameter semantics, such as how chunk_size or chunk_overlap affect parsing, so it does not go beyond the schema baseline.

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 uses the specific verb 'Parse' and identifies the resource 'PPTX (PowerPoint) file' and the outcome 'text chunks'. This clearly distinguishes it from sibling parse tools for other formats like lyzr_parse_pdf or lyzr_parse_docx.

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 implies usage for PPTX parsing but does not explicitly discuss when to use it vs alternatives or mention any exclusions. It provides clear context about the file type but lacks explicit guidance on tool selection among the many parse and kb_train siblings.

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