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Server Quality Checklist

67%
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  • Latest release: v0.2.0-alpha

  • Disambiguation5/5

    Each of the five tools has a clearly distinct purpose: starting a session, waiting for completion, fetching transcript, canceling, and diagnostics. There is no overlap or ambiguity.

    Naming Consistency4/5

    All tools share the 'ode_' prefix and mostly use imperative verbs (delegate, await, cancel), but 'transcript' is a noun, breaking the pattern slightly. Overall consistent.

    Tool Count5/5

    Five tools are well-scoped for managing agent sessions: start, wait, fetch transcript, cancel, and diagnostics. Neither too few nor too many.

    Completeness4/5

    The set covers core session lifecycle (start, wait, cancel, transcript), but lacks a tool to list session IDs explicitly. Diagnostics provides session counts but not individual IDs, a minor gap.

  • Average 4.5/5 across 5 of 5 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 6 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior3/5

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

    No annotations provided, so description carries full burden. It discloses the no-op behavior for finished sessions but does not mention if the operation is destructive or any side effects like session cleanup.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Two sentences, no redundancy. First sentence states primary purpose, second adds critical no-op detail. Highly efficient.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a simple tool with one parameter and no output schema, the description provides essential context. Could be improved by mentioning return format or side effects, but overall sufficient.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100% and the description does not add meaning beyond what the schema already provides ('Session id returned by ode_delegate'). Baseline score applies.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    Clearly states verb 'aborts' and resource 'in-progress session', explicitly distinguishes from ode_delegate which starts the session. Also notes the no-op behavior for already finished sessions.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    Indicates when to use (to abort an in-progress session started by ode_delegate). Lacks explicit exclusions or alternatives like ode_await for waiting, but context is clear enough.

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

  • Behavior4/5

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

    No annotations are provided, so the description bears the full burden. It clearly states that the tool is non-blocking ('without waiting for it to finish') and returns the current conversation. It does not mention error behavior or side effects, but for a simple read operation, this is adequate.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, concise sentence that includes the core functionality and key constraint ('without waiting for it to finish'). No superfluous words.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the low complexity (3 parameters, all described in schema) and no output schema, the description covers the essential behavior. However, it misses hinting at the return format, which would improve completeness. Minor gap.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, and the tool description adds no extra meaning beyond what the schema already provides for the three parameters (sessionId, tail, includeToolCalls). Baseline of 3 is appropriate.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The title and description clearly state that this tool fetches the transcript of a delegated OpenCode session without waiting for it to finish. The verb 'Fetches' and resource 'conversation so far' are specific, and it distinguishes from siblings like ode_delegate and ode_await.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description indicates it is for sessions started by ode_delegate and that it returns the conversation without blocking, implying it is useful for reading ongoing sessions. However, it does not explicitly state when to use alternatives like ode_await or ode_cancel, though sibling names provide implicit context.

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

  • Behavior4/5

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

    The description declares it is 'read-only' and lists what information is returned, but does not detail performance characteristics or rate limits. Since no annotations are provided, this is adequate.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Two dense sentences front-load all critical information (purpose, scope, contents) and then provide usage guidance. No wasted words.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given no output schema, the description explains the return contents well (pid, version, logs, etc.). It lacks specifics on format, but covers the breadth sufficiently.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    There are zero parameters, so baseline is 4. The description adds no param information, which is appropriate.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states it is a read-only snapshot of the bridge itself, listing specific outputs (pid, version, log paths, runtimes, events, session counts). It distinguishes itself from sibling tools that operate on sessions.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description explicitly states when to use: to diagnose host-side connection errors or to find which process/log backs a runtimeKey. It implies not for session-specific diagnostics.

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

  • Behavior5/5

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

    With no annotations, the description fully discloses blocking behavior, clamped timeout, return on timeout, currentActivity field, and status values. No contradictions.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Two concise sentences, front-loaded with main purpose, no wasted words. Every sentence adds value.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Despite no output schema, description explains return fields (status, answer, currentActivity) and possible statuses ('running'/'starting'). Complete for a blocking tool.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100% (baseline 3), but description adds clamping range (0-120000ms) and default for timeoutMs, going beyond schema.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool awaits a delegated OpenCode session until completion, returning final status and optional answer. It differentiates from sibling ode_delegate by referencing it as the session starter.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    Explicitly describes when to use (after ode_delegate) and provides usage details like passing timeoutMs=0 for non-blocking check. Lacks explicit when-not-to-use, but context is sufficient.

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

  • Behavior5/5

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

    Describes typical status ('running' or 'starting'), cold-spawn behavior, non-blocking nature unless waitMs set, model routing policy, and cost-first default. No annotations provided, so description fully carries behavioral disclosure.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Description is well-structured with sections, but slightly verbose. Each part adds value, but could be slightly more concise. Front-loaded with main action and return value.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given 8 parameters, no output schema, and no annotations, the description covers usage, behavior, model policy, and parameter constraints thoroughly. Includes return value and session lifecycle, making it complete for an agent to use correctly.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100%, so baseline is 3. Description adds significant context beyond schema: mutual exclusivity of prompt and promptPath, 512KiB cap, waitMs clamping, resume conditions, and model format guidance.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool starts a new OpenCode agent session to work on a prompt and returns a sessionId, with specific verb 'Starts' and resource 'OpenCode agent session'. It distinguishes from siblings by mentioning follow-up with ode_await and the session lifecycle.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines5/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    Provides explicit guidance on when to use (delegating a task), when to omit (resume with sessionId), and alternatives (ode_await for blocking). Covers mutual exclusivity of prompt/promptPath, model selection, and cost policy.

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

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Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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