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Refresh bounty feed data

get_bounty_feed
Read-onlyIdempotent

Use this when the model or mounted feed needs fresh structured bounty data without rendering another widget. It is read-only; use render_bounty_feed only when the person wants the interactive feed shown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNo
limitNo
networkNo
work_stateNo
source_typeNo
payment_stateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
networkYes
app_modeNo
degradedYes
generated_atYes
schema_versionYes
commerce_enabledNo
evidence_boundaryYes

Schema Changelog

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

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description reinforces the read-only profile and adds context beyond annotations: the tool returns structured data and does not render UI ('without rendering another widget'). No contradiction with annotations.

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 with zero filler; the purpose and primary routing decision are front-loaded before the secondary read-only clarification. Every sentence earns its place.

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 read-only fetch with rich annotations, an output schema, and all-optional parameters, the description covers purpose, usage context, and sibling routing. The main gap is that parameter semantics are left entirely to the schema, whose enums partially compensate; return values need not be explained because an output schema exists.

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

Parameters2/5

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

Schema description coverage is 0% across 6 parameters, but the description mentions none of them (view, limit, network, work_state, source_type, payment_state) and gives no guidance on filtering or defaults. The enum values in the schema are partially self-describing, which prevents a score of 1, but the description fails to compensate for the coverage gap.

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?

States a specific verb-resource pair: fetch 'fresh structured bounty data' for the model or mounted feed. Explicitly contrasts with render_bounty_feed, making the distinction from the most confusable sibling unambiguous.

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?

Gives an explicit when-to-use condition ('when the model or mounted feed needs fresh structured bounty data without rendering another widget') and names the alternative with its selection criterion ('use render_bounty_feed only when the person wants the interactive feed shown'). No inference required.

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

A3.9/5.0
Disambiguation3/5

Most tools are distinct by domain (comments, feeds, on-ramp, competitions), but prepare_bounty_action and prepare_bounty_post both trigger on an approved posting flow, and list_autonomous_bounties vs get_bounty_feed vs inspect_open_competition_v2 present overlapping read surfaces. The long 'use this when' guards help, but an agent could still select the wrong prepare or list tool.

Naming Consistency4/5

The names are almost uniformly snake_case verb_noun with predictable prefixes like prepare_, get_, and list_. Minor inconsistencies: add_bounty_comment vs list_bounty_comments (singular/plural), the v2 suffix, and compile_objective_with_cloud_agent breaks the concise verb_noun pattern.

Tool Count4/5

Thirteen tools is within the normal range for a platform covering bounty lifecycle, comments, feeds, competitions, and fiat on-ramp. However, the generic prepare_bounty_action plus separate prepare_bounty_post and several read/list variants make the set feel slightly heavier than the core domain needs.

Completeness4/5

The core bounty lifecycle (post, fund, solve/claim, complete, verify), status checks, listing, comments, and sharing are all represented. Missing explicit update/cancel or single-bounty detail operations are minor gaps because the prepare/status model and feed data cover most agent workflows.

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