Get transcript
get_transcriptReturns the full transcript (all segments, with speakers and timestamps) for a session.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sessionId | Yes |
get_transcriptReturns the full transcript (all segments, with speakers and timestamps) for a session.
| Name | Required | Description | Default |
|---|---|---|---|
| sessionId | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the read-only behavior is known. The description adds context that it returns all segments (not paginated) and includes speakers/timestamps, but does not disclose any other behavioral traits such as error handling, rate limits, or special cases. It provides some added value without contradicting annotations.
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 redundancy. It includes the key details (full transcript, segments, speakers, timestamps) and no unnecessary words.
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 the tool's simplicity (one param, no output schema), the description covers the essential return content and scope. It does not mention error conditions, but that is not critical for a read-only retrieval tool. The annotation provides the safety context, and the description is adequate for selecting and invoking the 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 description coverage is 0%, yet the description only mentions 'for a session', which minimally clarifies the sessionId parameter. It does not explain the format, expected values, or any constraints beyond the schema's type and required flag. The description fails to meaningfully compensate for the lack of schema descriptions.
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 verb 'Returns' and the specific resource 'full transcript (all segments, with speakers and timestamps)' for a session. This explicitly differentiates it from sibling tools like get_session by focusing on transcript segments, timestamps, and speakers.
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: when you need the full transcript of a session. However, it does not explicitly state when to use this tool over alternatives like get_session or search_notes, nor does it provide any exclusion criteria. The guidance is minimal but present.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool targets a distinct resource and action. Even get_ut, which returns comprehensive data, doesn't replace the specialized get_session, get_transcript, or get_quantitative_report for detailed views. No two tools have overlapping purposes.
All names follow a verb_noun pattern with underscores (e.g., add_task, get_ut, list_workspaces). The main inconsistency is using 'create' for UTs (create_ut) but 'add' for child entities (add_use_case, add_task), and having a separate update_scenario instead of folding it into update_ut, but the convention is still predictable.
With 18 tools, the set is slightly above the typical 3-15 well-scoped range, but the domain of usability testing requires distinct operations for drafting (use cases, tasks, scenario), reading results (reports, sessions, transcripts), and comparison. Each tool has a clear role, so the count feels reasonable rather than excessive.
The tool surface covers the core lifecycle: create, read, update, and delete for tasks/use cases, plus comprehensive retrieval of results and notes. Minor gaps include no delete_ut (UTs cannot be removed) and no explicit status change or cloning mechanism, but these are likely intentional app-side actions, so the surface is not severely incomplete.