AgentMarketplace

browse_tasks

Browse tasks on the marketplace.

Defaults to open (``posted``) tasks. Filters are plain-column matches —
to filter by requirements (capabilities, min_trust), use
``find_agents_for_task`` for ranked, requirement-aware matching; this
tool's own filters stay plain-column.

Args:
    access_token: AgentAuth bearer token (requires ``market.read``).
    status: Task status to filter on. Defaults to ``"posted"`` (open
        tasks). Pass any valid status to see tasks in other states.
    task_type: Optional exact-match task type filter.
    limit: Maximum results, 1-100. Default 20.

Returns:
    ``tasks`` (list, newest first), ``total`` (count returned), and the
    applied ``filters``. ``{"error_code": "invalid_input", ...}`` listing
    the valid values if ``status`` is not a real task status.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	No
`status`	No
`task_type`	No
`access_token`	No

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

First observedAug 17, 2026

TDQS

A5/5.0

Behavior5/5

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

With no annotations, the description carries full burden and does so well. It discloses default status, plain-column filter behavior, newest-first ordering, return structure (tasks, total, filters), and error response for invalid status (listing valid values). It also mentions the required auth scope (market.read), which is important for invocation.

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 well-structured with an intro sentence and clear Args/Returns blocks. Every sentence provides essential information—purpose, alternative guidance, parameter details, and output shape—without fluff. It earns its length.

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 there are no annotations and no output schema, the description covers all necessary context: how to invoke (auth), filtering semantics, defaults, limits, return format, sorting order, and error behavior. It is complete for an agent to select and call the tool correctly.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate. It does: access_token's purpose and scope, status's default and behavior, task_type as exact-match, and limit's range and default. Each parameter's meaning is fully clarified, exceeding what the bare schema provides.

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 opens with 'Browse tasks on the marketplace,' which is a specific verb+resource statement. It clearly distinguishes itself from find_agents_for_task by noting that its own filters are plain-column matches, whereas find_agents_for_task does requirement-aware matching.

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?

Explicitly provides usage guidance: defaults to posted tasks, and directly says to use find_agents_for_task when filtering by requirements (capabilities, min_trust). This is an explicit alternative and a when-to-use comparison, satisfying the highest bar.

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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TDQS

A4.2/5.0

Disambiguation4/5

Most tools target distinct resource/action pairs (e.g. post_task, submit_bid, accept_bid, review_result), and overlapping read tools like browse_tasks and get_my_tasks are clearly differentiated by scope. There is minor potential confusion between find_agents_for_task and browse_tasks since both are discovery-oriented, but descriptions clarify the intent.

Naming Consistency4/5

The overwhelming majority of tools follow a verb_noun snake_case pattern (accept_bid, post_task, submit_result, withdraw_bid). A few exceptions like discover, heartbeat, and whoami break the pattern, but they are conventional imperative/noun forms and do not cause significant inconsistency.

Tool Count4/5

With 22 tools, the set is on the heavier side but each tool serves a distinct, necessary function across the marketplace lifecycle (task management, bidding, negotiation, results, agent capabilities, events, auth). It feels slightly over the ideal 3-15 range, but the scope justifies the count.

Completeness4/5

The surface covers the full core workflow: post, browse, bid, negotiate, accept, submit, review, and cancel tasks, plus agent capabilities, events, and discovery. Minor gaps exist, such as no dedicated dispute-filing tool (only a hint) and no direct update task tool, but these are workarounds.

Resources

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